ephemech ::
Publications

Theses

  • [T1] Yolanda Escudero Martín, Improving Cost and Probability Estimates Using Interaction, Universidad de Alcalá, 2016
  • [T2] Raúl Lara Cabrera, Generación Automática de Contenido para Juegos de Estrategia en Tiempo Real, Universidad de Málaga, 2015
  • [T3] Rafael Nogueras Sánchez, Algoritmos Meméticos con Propiedades Self-* para la Optimización de Problemas Complejos, Universidad de Málaga, 2015
  • [T4] Daniel Díaz Palacios, An integrated resource-based, power-aware control system for autonomous rover misión operations, Universidad de Alcalá, 2015
  • [T5] Mariela Nogueira Collazo, Algoritmos Coevolutivos Competitivos Aplicados a la Programación de Videojuegos, Universidad de Málaga, 2017
  • [T6] Gema Bello Orgaz, “Evolutive Grouping for Community Detection in Social and Graph-based Information, Universidad Autónoma de Madrid, 2017
  • [T7] Ana María Nogareda Vilariños,“New Swarm-based Metaheuristics for Clustering and Scheduling Problems”, Universidad Autónoma de Madrid, 2017
  • [T8] Josefa Díaz Álvarez,Optimización de Rendimiento y Consumo Energético del Subsistema de Memoria mediante Nuevas Tecnologías basadas en Metaheurísticas”, supervised by COLMENAR VERDUGO, JOSE MANUEL and RISCO MARTIN, JOSE LUIS , 24 Jan 2017, UCM

Journal Special Issues

Conference Proceedings

  • [PR1] Francisco Chicano, Bin Hu, Pablo García-Sánchez, Evolutionary Computation in Combinatorial Optimization – Proceedings of EvoCOP 2016, Lecture Notes in Computer Science 9595, Springer, Berlin Heidelberg, 2016
  • [PR2] G. Squillero et al., Applications of Evolutionary Computing – Proceedings of the EvoApplications 2016, Lecture Notes in Computer Science 9597 and 9598, Springer, Berlin Heidelberg, 2016
  • [PR3] Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim,  Genetic Programming – Proceedings of EuroGP 2015, Lecture Notes in Computer Science 9025, Springer, Berlin Heidelberg, 2015
  • [PR4] A. Mora et al., Applications of Evolutionary Computing – Proceedings of the EvoApplications 2015, Lecture Notes in Computer Science 9028, Springer, Berlin Heidelberg, 2015
  • [PR5] P. A. Castillo, A. J. Fernández-Ares, Mª Isabel García-Arenas, P. García-Sánchez, A.M. Mora, J. J. Merelo, Libro de resúmenes y presentaciones de la I Jornada sobre Smart Cities y Movilidad, Universidad de Granada, Granada, Spain, 26 Nov 2015
  • [PR6] P. Novais, D. Camacho, C. Analide, A. El Fallah Seghrouchni, C. Badica, Intelligent Distributed Computing IX – IDC 2015, Studies in Computational Intelligence 616, Springer, Berlin Heidelberg, 2016
  • [PR7] D. Camacho, L. Braubach, S. Venticinque, C. Badica, Intelligent Distributed Computing VIII – IDC 2014, Studies in Computational Intelligence 570, Springer, Berlin Heidelberg, 2015
  • [PR8] D. Camacho, S-W. Kim, B. Trawinski, New Trends in Computational Collective Intelligence, Studies in Computational Intelligence 572, Springer, Berlin Heidelberg, 2015
  • [PR9] M. Núñez, N. Thanh Nguyen, D. Camacho, B. Trawinski, 7th International Conference on Computational Collective Intelligence Technologies and Applications, Lecture Notes in Artificial Intelligence 9329 (ISBN 978-3-319-24068-8) and 9330 (ISBN 978-3-319-24305-4), Springer, Berlin Heidelberg, 2015
  • [PR10] D. Camacho, M.A. Gómez Martín, P.A. González Calero, Proceedings II Congreso de la Sociedad Española para las Ciencias del Videojuego – CoSECivi 2015, CEUR Vol-1394, 2015, urn:nbn:de:0074-1394-9
  • [PR11] D. Camacho, M.A. Gómez Martín, P.A. González Calero, Proceedings III Congreso de la Sociedad Española para las Ciencias del Videojuego – CoSECivi 2016, CEUR Vol-1682, 2016, urn:nbn:de:0074-1682-4
  • [PR12] JJ Merelo, A Rosa, JM Cadenas, A Dourado, K Madani et al., Computational Intelligence: International Joint Conference, IJCCI 2014 Rome, Italy, October 22-24, 2014 Revised Selected Papers, Springer, 2015
  • [PR13] P. Novais, D. Camacho,C. Herpson, A. El Fallah Seghrouchni, C. Badica, P. Hindriks Intelligent Distributed Computing X – IDC 2016, Studies in Computational Intelligence 678, 2017
  • [PR14] D. Camacho, M.A. Gómez Martín, P.A. González Calero, Proceedings IV Congreso de la Sociedad Española para las Ciencias del Videojuego – CoSECivi 2017, CEUR Vol.1957, 2017
  • [PR15] Juan Julián Merelo Guervós, Agostinho C. Rosa, José Manuel Cadenas, António Dourado Correia, Kurosh Madani, António E. Ruano, Joaquim Filipe, Computational Intelligence – International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers. Studies in Computational Intelligence 669, ISBN 978-3-319-48504-1, Springer 2017
  • [PR16] Christophe Sabourin, Juan Julián Merelo Guervós, Una-May O’Reilly, Kurosh Madani, Kevin Warwick, Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI 2017, Funchal, Madeira, Portugal, November 1-3, 2017. ISBN 978-989-758-274-5, SciTePress 2017
  • [PR17] A. Mora et al. Applications of Evolutionary Computation – Proceedings of EvoApplications 2017, Lecture Notes in Computer Science 10199, Springer, Berlin Heidelberg, 2017
  • [PR18] A. Mora et al. Applications of Evolutionary Computation – Proceedings of EvoApplications 2018, Lecture Notes in Computer Science 10784, Springer, Berlin Heidelberg, 2018

Journals

  • [J1] A. Gonzalez-Pardo, J. Del Ser, D. Camacho. Solving Strategy Board Games using a CSP-based ACO Approach, International Journal of Bio-Inspired Computation, International Journal of Bio-Inspired Computation (IJBIC), Ed. By InderScience, Vol. 10(2): 136-144, January 2017, DOI: 10.1504/IJBIC.2017.085892
  • [J2] H.D. Menéndez, F. Otero, D. Camacho, Extending the SACOC algorithm through the Nyström method for Big Data Analysis, International Journal of Bio-Inspired Computation (IJBIC) 10(2):127-135, January 2017, DOI: 10.1504/IJBIC.2017.085894
  • [J3] A. M. Nogareda, D. Camacho, D. Optimizing satisfaction in a multi-courses allocation problem combined with a timetabling problem. Soft Computing Journal 21(17):4873-4882, September 2017 10.1007/s00500-016-2375-8
  • [J4] C. Ramirez-Atencia, G, Bello-Orgaz, M. D. R-Moreno, D. Camacho, Solving Complex Multi-UAV Mission Planning Problems using Multi-objective Genetic Algorithms, Soft Computing Journal 21(17):4883-4900, September 2017 10.1007/s00500-016-2376-7
  • [J5] V. Rodríguez-Fernández, H.D.-Menéndez, D.Camacho, A Study on Performance Metrics and Clustering Methods for Analyzing Behavior in UAV OperationsJournal of Intelligent & Fuzzy Systems 32(2):1307-1319, January 2017,DOI:10.3233/JIFS-169129
  • [J6] D. F. Barrero, M.D. R-Moreno, D. Camacho, Improving experimental methods on success rates in evolutionary computationJournal of Experimental and Theoretical Artificial Intelligence (JETAI), 2016, online first, DOI: 10.1080/0952813X.2016.1214186
  • [J7] A. Gonzalez-Pardo, J. J. Jung, D. Camacho. ACO-based Clustering for Ego Network Analysis. Future Generation Computer Systems (FGCS), 2016, online first, DOI: 10.1016/j.future.2016.06.033
  • [J8] A. Martín, Héctor D. Menéndez, D. Camacho. MOCDroid: Multi-Objective Evolutionary Classifier for Android Malware Detection. Soft Computing, 2016, online first, DOI: 10.1007/s00500-016-2283-y
  • [J9] G. Bello-Orgaz, J. Hernandez-Castro, D. Camacho, Detecting discussion communities on vaccination in twitter, Future Generation Computer Systems (FGCS), 2016, online first, DOI: 10.1016/j.future.2016.06.032
  • [J10] C. Cotta, R. Schaefer, Complex Metaheuristics, Journal of Computational Science 17(1):171-173, 2016, DOI: 10.1016/j.jocs.2016.06.001
  • [J11] R. Nogueras, C. Cotta, Self-healing strategies for memetic algorithms in unstable and ephemeral computational environments, Natural Computing 16(2):189-200, 2017, DOI: 10.1007/s11047-016-9560-7
  • [J12] V. Rodríguez-Fernández, H.D. Menéndez, D. Camacho, Automatic profile generation for UAV operators using a simulation-based training environment,  Progress in Artificial Intelligence 5(1) 37-46. 2016, DOI: 10.1007/s13748-015-0072-y
  • [J13] P. Muñoz, M.D. R-Moreno, D. F. Barrero, Unified framework for path-planning and task-planning for autonomous robotsRobotics and Autonomous Systems 82:1–14, 2016, DOI: 10.1016/j.robot.2016.04.010
  • [J14] H. D. Menéndez, F. E. Otero, D. Camacho, Medoid-based clustering using ant colony optimization. Swarm Intelligence 10(2), 123-145, 2016, DOI: 10.1007/s11721-016-0122-5
  • [J15] E. Clemente, F. Chávez, F. Fernández de Vega, G. Olague, Self-Adjusting focus of attention in combination with genetic fuzzy systems for improving laser environment control device system,  Applied Soft Computing 32:250-265, 2015, DOI: 10.1016/j.asoc.2015.03.011
  • [J16] R. Nogueras, C. Cotta, Studying self-balancing strategies in island-based multimemetic algorithms, Journal of Computational and Applied Mathematics 293:180-191, 2016, DOI: 10.1016/j.cam.2015.03.047
  • [J17] M. Nogueira-Collazo, C. Cotta, A.J. Fernández-Leiva, Competitive Algorithms for Co-evolving both Game Content and AI. A Case Study: Planet Wars, IEEE Transactions on Computational Intelligence and AI in Games 8(4):325-337, 2016, DOI: 10.1109/TCIAIG.2015.2499281
  • [J18] J.E. Gallardo, C. Cotta, A GRASP-based Memetic Algorithm with Path Relinking for the Far From Most String Problem, Engineering Applications of Artificial Intelligence 41:183-194, 2015, DOI: 10.1016/j.engappai.2015.01.020
  • [J19] R. Nogueras, C. Cotta, Studying fault-tolerance in island-based evolutionary and multimemetic algorithms, Journal of Grid Computing 13(3), 351-374, 2015, DOI: 10.1007/s10723-014-9315-6
  • [J20] R. Lara-Cabrera, M. Nogueira-Collazo, C. Cotta, A.J. Fernández Leiva, Procedural Content Generation for Real-Time Strategy Games, International Journal of Interactive Multimedia and Artificial Intelligence 3(2):40-48, 2015, DOI: 10.9781/ijimai.2015.325
  • [J21] P. García-Sánchez, G. Romero, J. González, A.M. Mora, M.I. García Arenas, P.A. Castillo, C. Fernandes, J.J. Merelo, Studying the effect of population size in distributed evolutionary algorithms on heterogeneous clusters, Applied Soft Computing 38:530-547, 2015, DOI: 10.1016/j.asoc.2015.09.052
  • [J22] R. Nogueras, C. Cotta, A Study on Meme Propagation in Multimemetic Algorithms, International Journal of Applied Mathematics and Computer Science 25(3):499-512, 2015, DOI: 10.1515/amcs-2015-0037
  • [J23] Federico Liberatore, Antonio M. Mora, Pedro A. Castillo, Juan J. Merelo. Comparing Heterogeneous and Homogeneous Flocking Strategies for the Ghost Team in the Game of Ms. Pac-Man, IEEE Transactions on Computational Intelligence and AI in Games 8(3):278-287. 2015, DOI: 10.1109/TCIAIG.2015.2425795
  • [J24] A.M. Mora, F. Aisa, P. García-Sánchez, P.A. Castillo, J.J. Merelo. Modelling a Human-like Bot in a First Person Shooter Game, International Journal of Creative Interfaces and Computer Graphics 6(1): 21-37, 2015. DOI: 10.4018/IJCICG.2015010102
  • [J25] P. de las Cuevas, A.M. Mora, J.J. Merelo, P.A. Castillo, P. García-Sánchez, A. Fernández-Ares, Corporate Security Solutions for BYOD: A Novel User-Centric and Self-Adaptive System, Computer Communications 68: 83-95, 2015, DOI: 10.1016/j.comcom.2015.07.019
  • [J26] J. Díaz, J.L. Risco, J.M. Colmenar,  Multi-objective optimiztion of energy consumption and execution time in a single level cache memory for embedded systems, Journal of System Software 111:200-212. 2016.
  • [J27] J. Díaz, J.M. Colmenar, J.L. Risco, J. Lanchares, O. Garnica, Optimizing L1-cache for embedded systems through grammatical evolution, Soft Computing 20(6):2451-2465, 2015, DOI: 10.1007/s00500-015-1653-1
  • [J28] J.I. Hidalgo, F. Fernández, Parallel Bioinspired Algorithms on the Grid and Cloud.  The Journal of Grid Computing 13(3), 305-308, 2015, DOI: 10.1007/s10723-014-9322-7
  • [J29] M. García, L. Trujillo, J.J. Merelo, F. Fernández, G. Olague, The Evospace Model for pool based Evolutionary Algorithms, The Journal of Grid Computing, 13(3) 329-349,  2015, DOI: 10.1007/s10723-014-9319-2
  • [J30] G. Bello-Orgaz, J. J. Jung, D. Camacho, Social big data: Recent achievements and new challenges,  Information Fusion 28:45-59, 2016, DOI: 10.1016/j.inffus.2015.08.005
  • [J31] A. Gonzalez-Pardo, F. Palero, D. Camacho. An Empirical Study on Collective Intelligence Algorithms for Video Games Problem Solving, Computing and Informatics 34(1):233-253, 2015
  • [J32] J.J. Jung, D. Camacho, C. Badica, Intelligent Distributed Processing Methods for Big Data, Journal of Universal Computer Science 21(6):754-756, 2015, DOI: 10.3217/jucs-021-06
  • [J33] A. Fernández-Ares and A.M. Mora and P. García-Sánchez and P.A. Castillo and J.J. Merelo. Analyzing the Influence of the Fitness Function on Genetically Programmed Bots for a Real-Time Strategy Game, Entertainment Computing 18:15-29, 2017, DOI: 10.1016/j.entcom.2016.08.001
  • [J34] R. Nogueras, C. Cotta, Analyzing Self-* Island-based Memetic Algorithms in Heterogeneous Unstable EnvironmentsInternational Journal of High Performance Computing Applications 32(5) 676–692, 2018, DOI: 10.1177/1094342016678665
  • [J35] C. Cotta, J.E. Gallardo, Metaheuristic Aproaches to the Placement of Suicide Bomber Detectors, Journal of Heuristics, 2017, DOI: 10.1007/s10732-017-9335-z
  • [J36] P.A. Castillo, A. Mora García, H. Faris, J.J. Merelo Guervós, P. García-Sánchez, A. Fernández-Ares, P. de las Cuevas, M. García Arenas, Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment, Knowledge-Based Systems 115: 133-151, 2017, DOI:10.1016/j.knosys.2016.10.019
  • [J38] C. Cotta, R. Schaefer, Bioinspired Algorithms and Complex Systems, Journal of Computational Science 23:192-194, 2017, DOI: 10.1016/j.jocs.2017.11.010
  • [J39] D. Camacho, C. Cotta, J.J. Merelo-Guervós, F. Fernández de Vega, Bioinspired Algorithms in Complex Ephemeral Environments, Future Generation Computer Systems 88:732-734, 2018 , DOI:10.1016/j.future.2018.07.056
  • [J40] D. Camacho, R. Lara-Cabrera, J.J. Merelo-Guervós, P.A. Castillo, C. Cotta, A.J. Fernández Leiva, F. Fernández de Vega, F. Chávez, From ephemeral computing to deep bioinspired algorithms: New trends and applications, Future Generation Computer Systems 88:735-746, 2018 , DOI:10.1016/j.future.2018.07.055
  • [J41] R. Nogueras, C. Cotta, On the Use of Self-* Island-based Evolutionary Computation Methods on Complex Environments, Computer Science and Information Systems, 2018 (In press)
  • [J42] A. González-Pardo, J. del Ser, D. Camacho Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems. Applied Soft Computing 60, pp 241-255, 2017 online first, DOI: 10.1016/j.asoc.2017.06.042
  • [J43] V. Rodríguez-Fernández, A. Gonzalez-Pardo and D. Camacho Modelling Behaviour in UAV Operations using Higher Order Double Chain Markov Models. IEEE Computational Intelligence Magazine 12, pp 28-37, 2017 online first, DOI: 10.1109/MCI.2017.2742738
  • [J44] A. Martín, R. Lara-Cabrera, F. Fuentes-Hurtado, V. Naranjo, D. Camacho EvoDeep: a new Evolutionary approach for automatic Deep Neural Networks parametrization. Journal of Parallel and Distributed Computing 117, pp 180-191, 2018 online first, DOI: 10.1016/j.jpdc.2017.09.006
  • [J45] R. Lara-Cabrera, A. Gonzalez-Pardo, D. Camacho Statistical Analysis of Risk Assessment Factors and Metrics to Evaluate Radicalisation in Twitter. Future Generation of Computer Systems 2018 online first, DOI: 0.1016/j.future.2017.10.046
  • [J46] R. Lara-Cabrera, D. Camacho A taxonomy and state of the art revision on affective games. Future Generation of Computer Systems Future Generation of Computer Systems – FGCS 2017 online first, DOI: 10.1016/j.future.2017.12.056
  • [J47] C. Ramirez-Atencia, J. del Ser, D. Camacho Weighted Strategies to Guide a Multi-Objective Genetic Algorithm for Multi-UAV Mission Planning. Swarm and Evolutionary Computation 2018 online first, DOI: 10.1016/j.swevo.2018.06.005
  • [J48] C. Ramirez-Atencia, D. Camacho Constrained Multi-objective Optimization for Multi-UAV Planning. Journal of Ambient Intelligence and Humanized Computing 2018 online first, DOI: 10.1007/s12652-018-0930-0
  • [J49] A Martín, V. Rodríguez-Fernández, D. Camacho CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains. Engineering Applications of Artificial Intelligence 2018 online first, DOI: 10.1016/j.engappai.2018.06.006
  • [J50] D. Camacho, and P. Novais New trends and Innovations in Intelligent Distributed Computing. Expert Systems 2018 online first, DOI: 10.1111/exsy.12333
  • [J51] Antonio Fernández-Ares, Antonio Mora García, Maribel García Arenas, Pablo García-Sánchez, Gustavo Romero, Víctor Manuel Rivas Santos, Pedro A. Castillo, Juan Julián Merelo Guervós. Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system. Future Generation Comp. Syst. 76: 163-179, 2017
  • [J52] Víctor Manuel Rivas Santos, Elisabet Parras-Gutierrez, Juan Julián Merelo Guervós, Maribel García Arenas, Pablo García-Fernández. Time series forecasting using evolutionary neural nets implemented in a volunteer computing system. Int. Syst. in Accounting, Finance and Management 24(2-3): 87-95, 2017
  • [J53] Juan Julián Merelo Guervós, Pedro A. Castillo, Mario García Valdez. Alife in the Clouds: A Short Review of Applications of Artificial Life to Cloud Computing and Back. Frontiers in Robotics and AI Computational Intelligence, Vol. 4, art. 64, pp.1-4, 2018, doi: 10.3389/frobt.2017.00064
  • [J54] Pablo García-Sánchez, Alberto Paolo Tonda, Antonio Mora García, Giovanni Squillero, Juan Julián Merelo Guervós. Automated playtesting in collectible card games using evolutionary algorithms: A case study in hearthstone. Knowl.-Based Syst. 153: 133-146, 2018
  • [J55] Antonio Fernández-Ares, Antonio Mora García, Suhail M. Odeh, Pablo García-Sánchez, Maribel García Arenas. Wireless monitoring and tracking system for vehicles: A study case in an urban scenario. Simulation Modelling Practice and Theory 73: 22-42, 2017
  • [J56] Antonio Fernández-Ares, Antonio Mora García, María Isabel García Arenas, Pablo García-Sánchez, Gustavo Romero, Suhail M. Odeh, Pedro A. Castillo. A Novel Wireless Mobility Monitoring and Tracking System: Applications for Smart Traffic. International Journal of Conceptual Structures and Smart Applications 4(2): 55-71, 2016
  • [J57] Pedro G. Fernández, Antonio Mora García, Pablo García-Sánchez. Using Electronic Voting Devices for Increasing Students’ Participation in the Classroom and Easing Their Continuous Evaluation. Revista Iberoamericana de Tecnologías del Aprendizaje 13(3): 93-100, 2018
  • [J58] M. Konomi, G. M. Sacha. Feedforward neural network methodology to characterize thin films by electrostatic force microscopy. Ultramicroscopy 187: 243-248, 2017, DOI: 10.1016/j.ultramic.2017.07.015
  • [J59] F. Chávez, F. Fernández, D. Lanza, C. Benavides, J. Villegas, L. Trujillo, G. Olague, G. Román. Deploying massive runs of evolutionary algorithms with ECJ and Hadoop. Reducing interest points requires for face recognition. The International Journal of High Performance Computing Applications 32(5), 706-720, 2016, DOI: 10.1177/1094342016678302
  • [J60] D. Quintana, F. Chávez, R. M. Luque-Baena, F. Luna. Fuzzy Techniques for IPO Underpricing Prediction. Journal of Intelligent & Fuzzy Systems 35, 367-381, 2018, DOI: 10.3233/JIFS-169595.
  • [J61] J. Díaz, F. Chávez, P. A. Castillo, J. A. García, F. J. Rodríguez, F. Fernández. A Fuzzy Role-Based System to predict energy consumption of Genetic Programming Algorithms, Computer Science and Information Systems 15(3), 635–654. DOI:  10.2298/CSIS180110026A

CD-ROM

  • [CD1] F. Fernández, C. Cruz, P. Hernández, L. Navarro, L. Espada, V. Albarrán, T. Gallego, L. Espada, Virtual Connections,  ISBN 978-84-96838512

Books

  • [B1] F. Fernández, C. Cruz, P. Hernández, L. Navarro, L. Espada, V. Albarrán, T. Gallego, L. Espada, Arte Evolutivo y Computación, Universidad de Extremadura, 2015, ISBN 978-84-7723-971-0.
  • [B2] L. Aparicio, F. Chávez, M. C. García, F. Fernández, S. Polo, A. Rodríguez, J. M. Huertas. Soñadores – Escuela Municipal de Jóvenes Científicos, Universidad de Extremadura, 2017, ISBN 978-84-697-4613-4
  • [B3] L. Aparicio, F. Chávez, M. C. García, F. Fernández, S. Polo, A. Rodríguez, A. Castillo. Navegantes – Escuela Municipal de Jóvenes Científicos, Universidad de Extremadura, 2016, ISBN 978-84-697-5349-9

Book Chapters

  • [CH1] C. Cotta, J.E. Gallardo, L. Mathieson, P. Moscato, A Contemporary Introduction to Memetic Algorithms, Wiley Encyclopedia of Electrical and Electronic Engineering, 1-15, Wiley, 2016, DOI:10.1002/047134608X.W8330
  • [CH2] D. Lanza, F. Chavez, F. Fernandez, M. Garcia-Valdez, L. Trujillo and G. Olague, Profiting From Several Recommendation Algorithms Using A Scalable Approach, Studies in Computational Intelligence – Numerical and Evolutionary Optimization, Dr. Janusz Kacprzyk (Ed.), pp. 357–375, Springer-Verlag, 2017 DOI: 10.1007/978-3-319-44003-3_14
  • [CH3] C. Cotta, L. Mathieson, P. Moscato, Memetic Algorithms, Handbook of Heuristics, M.G.C. Resende, R. Marti and P.M. Pardalos, pp. 607-638, Springer International Publishing, Cham, 2018
  • [CH4] C.M. Fernandes , J.L.J. Laredo, J.J. Merelo, C. Cotta, A.C. Rosa, Particle Swarm Optimization with Dynamic Topology and Conservation of Evaluations, J.J. Merelo et al. (eds.), Computational Intelligence, Studies in Computational Intelligence 620, pp 97-111, Springer-Verlag, Berlin Heidelberg, 2015, DOI: 10.1007/978-3-319-26393-9_7
  • [CH5] J.J. Merelo, Z. Chelly, A. Mora, A. Fernández-Ares, A.I. Esparcia-Alcázar, C. Cotta, P. de las Cuevas, N. Rico, A Statistical Approach to Dealing with Noisy Fitness in Evolutionary Algorithms, Computational Intelligence, J.J. Merelo et al. (eds.), Studies in Computational Intelligence 620, pp. 79-95, 2015, DOI: 10.1007/978-3-319-26393-9_6
  • [CH6] R. Nogueras, C. Cotta, Towards Resilient Multimemetic Systems on Unstable Networks with Complex Topology, Advances in Evolutionary Algorithm Research, pp. 17-33, G. Papa (ed.), Nova Science Pub., 2015
  • [CH7] J.C. Ribeiro, A. F. Nogueira, F. Fernández de Vega, M. Zenha, eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software,  Handbook of Genetic Programming Applications, Amir H. Gandomi, Amir H. Alavi, Conor Ryan (eds.),  pp. 575-593, Springer, 2015, DOI: 10.1007/978-3-319-20883-1_23
  • [CH8] F. Fernández de Vega, Evolutionary Algorithms: Perspectives on the Evolution of Parallel Models, Intelligent Distributed Computing IX, P. Novais et al. (eds.), pp. 13-22, Studies in Computational Intelligence 616, Springer, Berlin Heidelberg, 2015.
  • [CH9] C.M. Fernandes, J.L. Jiménez Laredo, J.J. Merelo, C. Cotta, A.C. Rosa, Dynamic Topologies for Particle Swarms, T.N. Nguyen et al. (eds.), Transactions on Computational Collective Intelligence XXIV, Lecture Notes in Computer Science 9770, pp. 1-18, Springer-Verlag, Berlin Heidelberg, 2016
  • [CH10] J.J. Merelo, F. Liberatore, A. Fernández-Ares, R. Héctor García-Ortega, Z. Chelly, C. Cotta, N. Rico, A. M. Mora, P. García-Sánchez, A. Paolo Tonda, P. de las Cuevas, P. A. Castillo, The Uncertainty Quandary: A Study in the Context of the Evolutionary Optimization in Games and Other Uncertain Environments, T.N. Nguyen et al. (eds.), Transactions on Computational Collective Intelligence XXIV, Lecture Notes in Computer Science 9770, pp. 40-60, Springer-Verlag, Berlin Heidelberg, 2016
  • [CH11] C. Cotta, A.J. Fernández-Leiva, F. Fernández de Vega, F. Chávez, J.J. Merelo, P. A. Castillo, D. Camacho, M.D. R-Moreno, Application Areas of Ephemeral Computing: A Survey, T.N. Nguyen et al. (eds.), Transactions on Computational Collective Intelligence XXIV, Lecture Notes in Computer Science 9770, pp. 153-167, Springer-Verlag, Berlin Heidelberg, 2016
  • [CH12] F. Glover, C. Cotta, An overview of Meta-Analytics: The Promise of Unifying Meta-heuristics and Analytics, New Ideas in Business and Customer Analytics, N.J. de Vries and P. Moscato (Eds.), Springer, (to appear, 2018)
  • [CH13] P. Moscato, C. Cotta, An Accelerated Introduction to Memetic Algorithms, Handbook of Metaheuristics, M. Gendreau, J.-Y. Potvin (eds.), International Series in Operations Research & Management Science 272, chapter 9, Springer International Publishing AG, 2019 (in press), DOI: 10.1007/978-3-319-91086-4_9
  • [CH14] D. Lanza, F. Chávez, F. Fernández, M. García, L. Trujillo, G. Olague. Profiting from several recommendation algorithms using a scalable approach. Studies in Computational Intelligence. pp. 357-375, O. Schütze, L. Trujillo, P. Legrand, Y. Maldonado (eds.), Springer International Publishing, DOI: 10.1007/978-3-319-44003-3_14.
  • [CH15] Ana Filipa Nogueira, J.C. Ribeiro, F. Fernández de Vega, M. Zenha,  Evolutionary Approaches to Test Data Generation for Object-Oriented Software:  Overview of techniques and tools. Incorporating Nature-inspired paradigms in Computational Applications. Chapter 6.  IGI Global 2018. DOI: 10.4018/978-1-5225-5020-4.ch006
  • [CH16] F. Fernández,  Doing research at the confluence of art and science. Evolution in Action:  past, present and future. W. Banzhaf et al. (eds.) Springer.  To appear.

Conferences

  • [C1] F. Chavez de La O, F. Fernandez de Vega, J. Diaz, J.A. Garcia, P.A. Castillo, J.J. Merelo, C. Cotta, A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms. Towards Energy-Aware Bioinspired Algorithms, Parallel Problem Solving from Nature 2016 – PPSN XIV, J. Handl et al. (eds.), pp. 91-100, Lecture Notes in Computer Science, Springer, Berlin Heidelberg, 2016
  • [C2] Carlos Fernandes, J.J. Merelo, A. Rosa, An Asynchronous and Steady State Update Strategy for the Particle Swarm Optimization Algorithm, Parallel Problem Solving from Nature 2016 – PPSN XIV, J. Handl et al. (eds.), pp.167-177, Lecture Notes in Computer Science, Springer, Berlin Heidelberg, 2016
  • [C3] R. Nogueras, C. Cotta, A Study of the Performance of Self-* Memetic Algorithms on Heterogeneous Ephemeral Environments, Parallel Problem Solving from Nature 2016 – PPSN XIV, J. Handl et al. (eds.), pp. 548-557, Lecture Notes in Computer Science, Springer, Berlin Heidelberg, 2016
  • [C4] M. Konomi, S. Gomez Moñivas, Input Modulation in Feedforward Neural Networks by Genetic Algorithms Applied to the Characterization of Thin Films Conductivity, 2016 Fuerzas y túnel Conference, Girona, Spain, 5-7 de septiembre, 2016
  • [C5] M. A. Molinero-Polo, C. Hernández, D. M. Méndez-Rodríguez, S. Pérez-Ruiz, A. Acebo, F. Jurado, P. Rodríguez, S. Atrio, G. M. Sacha, Analyzing the Negative Effects of Motivating e-Learning Tools in Archeology Teaching, Proceedings of SIIE2016, pp. 261. ISBN: 978-84-9012-630-1, 2016. DOI:10.1109/SIIE.2016.7751846
  • [C6] A. Martín, H. D. Menéndez, D. Camacho, Studying the influence of Static API Calls for Hiding Malware. Advances in Artificial Intelligence – 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Lecture Notes in Computer Science, Volume 9868, pp. 363-372, Salamanca, Spain, September 14-16, 2016. DOI:10.1007/978-3-319-44636-3_34
  • [C7] C. Ramirez-Atencia, G. Bello-Orgaz, M. D. R-Moreno, D. Camacho, A Weighted Penalty Fitness for a Hybrid MOGA-CSP to solve MPPs, XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), Salamanca, Spain, September 14-16 2016. ISBN: 978-84-9012-632-5
  • [C8] A.Collado, M.D. R-Moreno, D.F. Barrero, Detección de caídas mediante el acelerómetro de un smartwatch, XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), Salamanca, Spain [forthcoming]
  • [C9] F. Fernández, J. Díaz, A. García, F. Chávez, Considerando el consumo energético en los Algoritmos EvolutivosXI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), pp 305-314, Salamanca, Spain, 2016
  • [C10] D. Lanza, F. Fernández, F. Chávez, G. Olague, Prevención del bloat mediante una interpretación espacio-temporal de la programación genéticaXI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), pp. 83-92, Salamanca, Spain, 2016
  • [C11] A. Martín, H. D. Menéndez, D. Camacho, String-based Malware Detection for Android Environments. 10th International Symposium on Intelligent Distributed Computing (IDC 2016),  Paris, France, 2016. Intelligent Distributed Computing X, Studies in Computational Intelligence, Vol. 678, pp. 99-108. DOI: 10.1007/978-3-319-48829-5_10
  • [C12] Y.E-Martín, M. D. R-Moreno, D. Smith, Incremental Contingency Planning for Recovering from Uncertain Outcomes, XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), Salamanca, Spain, 2016 [forthcoming]
  • [C13] A. Collado, M. D. R-Moreno, D. F. Barrero, D. Rodríguez, Triaxial Accelerometer Located on the Wrist for Elder People’s Fall DetectionThe 17th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’2016), Yangzhou, China, 2016 [forthcoming]
  • [C14] P. Muñoz , M. D. R-Moreno, 3Dana: Path Planning on 3D surfaces,Proceedings of the Thirty-six SGAI International Conference on Artificial Intelligence (SGAI 2016). British Computer Society, Cambridge, UK, 2016 [forthcoming]
  • [C15] P. García-Sánchez, A. Tonda, G. Squillero, A.M. Mora, J.J. Merelo, Evolutionary Deckbuilding in the Collectible Card Game HearthStoneIEEE Conference on Computational Intelligence and Games (CIG 2016), Santorini, Greece, 2016 [forthcoming]
  • [C16] Antonio J. Fernández Leiva, Ariel Eduardo Vázquez-Nuñez. ‘Ephemerality’ in game development: opportunities and challenges. 17th International Conference on Intelligent Games and Simulation (GAMEON 2016). Pp. 10-14, Lisbon, Portugal, 13-15 September, 2016.
  • [C17] E. Villar-Rodriguez, A. Gonzalez-Pardo, J. Del Ser, M. N. Bilbao, S. Salcedo-Sanz, A Novel Adaptive Density-based ACO algorithm with Minimal Encoding Redundancy for Clustering Problems. 2016 IEEE Congress on Evolutionary Computation (IEEE-CEC), pp. 3139-3145, Yew Soon Ong (Eds.), Vancouver, Canada, 24-29 July, 2016. ISBN: 978-1-5090-0622-9
  • [C18] A. Martín, H. D. Menéndez, D. Camacho, Genetic Boosting Classification for Malware Detection. 2016 IEEE Congress on Evolutionary Computation (IEEE-CEC), Pp. 1030-1037, Yew Soon Ong (Eds.), Vancouver, Canada, 24-29 July, 2016. ISBN: 978-1-5090-0622-9
  • [C19] V. Rodríguez-Fernández, A. González-Pardo, D. Camacho, A Method for Building Predictive HSMMs in Interactive Environments, 2016 IEEE Congress on Evolutionary Computation (IEEE-CEC), pp. 3146-3153, Yew Soon Ong (Eds.), Vancouver, Canada, 24-29 July, 2016. ISBN: 978-1-5090-0622-9
  • [C20] J.J. Merelo, M. García-Valdez, C. Cotta, Visualizing for success: How can we make the user more efficient in interactive evolutionary algorithms?,2016 Conference Companion on Genetic and Evolutionary Computation (GECCO’16), pp. 1427-1428, ACM Press, Denver, CO, 2016.
  • [C21] Juan J. Merelo, Pedro A. Castillo, Pablo García-Sánchez, Paloma de las Cuevas, Nuria Rico, Mario García Valdez, Performance for the Masses: Experiments with a Web Based Architecture to Harness Volunteer Resources for Low Cost Distributed Evolutionary Computation, 2016 Conference on Genetic and Evolutionary Computation (GECCO’16), pp. 837-844, ACM Press, Denver, CO, 2016. DOI: 10.1145/2908812.2908849
  • [C22] Juan J. Merelo, Pedro A. Castillo, Pablo García-Sánchez, Paloma de las Cuevas, Mario García Valdez, NodIO: A Framework and Architecture for Pool-based Evolutionary Computation, 2016 Conference Companion on Genetic and Evolutionary Computation (GECCO’16), pp. 1323-1330, ACM Press, Denver, CO, 2016. DOI: 10.1145/2908812.2908849
  • [C23] N. Medina-Medina, A.M. Mora, R. López-Arcos, P. García-Sánchez, F. Gutiérrez-Vela, P. Paderewski, N. Padilla-Zea. Living-UGR: Una aventura gráfica geolocalizada para difundir el patrimonio de la Universidad de GranadaCoSeCiVi’16: III Congreso de la Sociedad Española para las Ciencias del Videojuego, D. Camacho, M.A. Gómez Martín, P.A. González Calero (Eds.), Barcelona, 2016
  • [C24] Alejandro Ruiz Moyano, Mariela Nogueira-Collazo and Antonio J. Fernández-Leiva, Hacia la generación automática de mecánicas de juego: un editor de reglas para Eryna, CoSeCiVi’16: III Congreso de la Sociedad Española para las Ciencias del Videojuego, D. Camacho, M.A. Gómez Martín, P.A. González Calero, Barcelona, 2016
  • [C25] Ariel Eduardo Vázquez-Nuñez and Antonio J. Fernández Leiva, Computación Efímera: identificando retos para la investigación en videojuegos, CoSeCiVi’16: III Congreso de la Sociedad Española para las Ciencias del Videojuego, D. Camacho, M.A. Gómez Martín, P.A. González Calero (Eds.), Barcelona, 2016
  • [C26] A. Fernández-Ares, P. García-Sánchez, A.M. Mora, P.A. Castillo and J.J. Merelo. Sólo puede quedar uno: Evolución de Bots para RTS basada en supervivenciaCoSeCiVi’16: III Congreso de la Sociedad Española para las Ciencias del Videojuego, D. Camacho, M.A. Gómez Martín, P.A. González Calero (Eds.), Barcelona, 2016
  • [C27] A. Fernández-Ares , M.G. Arenas, A.M. Mora, P.A. Castillo, J.J. Merelo. Comparing Wireless Traffic Tracking with Regular Traffic Control Systems for the Detection of Congestions in Streets, Smart Cities: First International Conference (Smart-CT 2016), Lecture Notes in Computer Science 9704, pp. 42-51, Enrique Alba, Francisco Chicano, Gabriel Luque (Eds.), Springer, Berlin Heidelberg, 2016, DOI 10.1007/978-3-319-39595-1_5
  • [C28] M. Polceanu, A.M. Mora, J.L. Jiménez, C. Buche, A.J. Fernández-Leiva, The Believability Gene in Virtual Bots, The 29th International FLAIRS Conference, May 16 – 18, pp. 346-349, AAAI Press, Key Largo, Florida, USA, 2016.
  • [C29] A. Lyubchenko, S. Bartosh, P.A. Castillo, M.G. Arenas, E. Kopytov, Parameter Analysis of Monte Carlo Simulation Model for Improvement of Its Performance with High Accuracy of Reliability Estimations of Radiocommunication Equipment, XII International Siberian Conference on Control and Communications (SIBCON-2016), pp.1-5, IEEE Press, Moscow Russia, May 12-14 2016. DOI 10.1109/SIBCON.2016.7491778
  • [C30] Pablo García-Sánchez, Julio Ortega, Jesús González, Pedro A. Castillo, Juan J. Merelo. Addressing high dimensional multi-objective optimization problems by coevolutionary islands with overlapping search spacesApplications of Evolutionary Computation – EvoApplications 2016, G. Squillero and P. Burelli (eds.), Lecture Notes in Computer Science 9598, pp. 107-117, Springer, Berlin Heidelberg, 2016, DOI: 10.1007/978-3-319-31153-1_8
  • [C31] Rubén H. García-Ortega, Pablo García-Sánchez, Juan J. Merelo, Aránzazu San-Ginés and Ángel Fernández-Cabezas. The story of their lives: Massive procedural generation of heroes’ journeys using evolved agent-based models and logical reasoningApplications of Evolutionary Computation – EvoApplications 2016, G. Squillero and P. Burelli (eds.), Lecture Notes in Computer Science 9598, pp. 604-619, Springer, Berlin Heidelberg, 2016, DOI 10.1007/978-3-319-31204-0_39
  • [C32] A. Fernández-Ares, P. García-Sánchez, A.M. Mora, P.A. Castillo and J.J. Merelo. There can be only one: Evolving RTS Bots via joust selectionApplications of Evolutionary Computation – EvoApplications 2016, G. Squillero and P. Burelli (eds.), Lecture Notes in Computer Science 9597, pp. 541-577, Springer, Berlin Heidelberg, 2016, DOI 10.1007/978-3-319-31204-0_35
  • [C33] J.J. Merelo, P. Castillo, I. Blancas, G. Romero, P. García-Sanchez, A. Fernández-Ares, V. Rivas and M. García-Valdez, Benchmarking Languages for Evolutionary AlgorithmsApplications of Evolutionary Computation – EvoApplications 2016, G. Squillero and P. Burelli (eds.), Lecture Notes in Computer Science 9598, pp. 27–41, Springer, Berlin Heidelberg, 2016, DOI 10.1007/978-3-319-31153-1_3
  • [C34] R. Lara-Cabrera, A. Gutierrez Alcoba, A. J. Fernández-Leiva, A Spatially-Structured PCG Method for Content Diversity in a Physics-Based Simulation Game,  Applications of Evolutionary Computation – EvoApplications 2016, G. Squillero and P. Burelli (eds.), Lecture Notes in Computer Science 9597, pp. 653-668, Springer, Berlin Heidelberg, 2016, DOI: 10.1007/978-3-319-31204-0_42
  • [C35] F. Chávez,F. Fernández, C. Benavides, D. Lanza, J. Villegas, L. Trujillo, G. Olague, G. Román, ECJ+HADOOP. An Easy Way to Deploy Massive Runs of Evolutionary Algorithms, Applications of Evolutionary Computation – EvoApplications 2016, G. Squillero and P. Burelli (eds.), Lecture Notes in Computer Science 9597, pp. 91-106, Springer, Berlin Heidelberg, 2016, DOI: 10.1007/978-3-319-31153-1_7
  • [C36] V.M. Rivas, E. Parras-Gutiérrez, J.J. Merelo, M.G. Arenas, P. García-Fernández. Web browser-based forecasting of economic time-series, 13th International Conference Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing 475, pp. 35-42, Bucciarelli et al (Eds), Springer, Seville Spain, 2016. DOI: 10.1007/978-3-319-40111-9_5
  • [C37] A. Lyubchenko, P.A. Castillo, A.M. Mora, P. García-Sánchez, M.G. Arenas, Simulation approach for optimal maintenance intervals estimation of electronic devices, Automation Control Theory Perspectives in Intelligent Systems: Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 3, pp. 153-164, Silhavy et al. (eds.), Springer, 2016. DOI 10.1007/978-3-319-33389-2_15
  • [C38] A. Lyubchenko, P.A. Castillo, A.M. Mora, P. García-Sánchez, E. Kopytov. Monte Carlo simulation model for estimation of reliability indexes of electronic means. I International Forum: Instrumentation Engineering, Electronics and Telecommunications – 2015, pp.128-135, Yakimovich et al. (eds), Publishing House of Kalashnikov ISTU. Izhevsk, Russia, 2015.
  • [C39] C. Cotta, A.J. Fernández-Leiva, F. Fernández de Vega, F. Chávez, J.J. Merelo, P.A. Castillo, G. Bello, D. Camacho, Ephemeral Computing and Bioinspired Optimization – Challenges and Opportunities, 7th International Joint Conference on Computational Intelligence (IJCCI 2015) – Volume 1: ECTA, Agostinho C. Rosa et al. (eds.), pp. 319-324, SciTePress, Lisbon, Portugal, 2015
  • [C40] J.L. Martín-Acal, G. Romero, P. Palacín, Pablo García-Sánchez, J.J. Merelo, P.A. Castillo, Cybersecurity and Honeypots: Experience in a Scientific Network Infrastructure, 7th International Joint Conference on Computational Intelligence (IJCCI 2015) – Volume 1: ECTA, Agostinho C. Rosa et al. (eds.), pp. 313-318, SciTePress, Lisbon, Portugal, 2015
  • [C41] J.J. Merelo, Federico Liberatore, A. Fernández-Ares, R. García-Ortega, Z. Chelly, C. Cotta, N. Rico, A.M. Mora, P. García-Sánchez, There is Noisy Lunch: A Study of Noise in Evolutionary Optimization Problems, 7th International Joint Conference on Computational Intelligence (IJCCI 2015) – Volume 1: ECTA, Agostinho C. Rosa et al. (eds.), pp. 261-268, SciTePress, Lisbon, Portugal, 2015
  • [C42] Raul Lara-Cabrera, Mariela Nogueira-Collazo, Carlos Cotta and Antonio J. Fernández Leiva, Game Artificial Intelligence: Challenges for the Scientific Community, CoSeCiVi’15: II Congreso de la Sociedad Española para las Ciencias del Videojuego, D. Camacho, M.A. Gómez Martín, P.A. González Calero (Eds.), pp. 1-12, CEUR-WS.org, Vol-1394, 2015, urn:nbn:de:0074-1394-9
  • [C43] J.L. Jiménez, A.M. Mora, A.J. Fernández Leiva, Evolutionary Interactive Bot for the FPS Unreal Tournament 2004, CoSeCiVi’15: II Congreso de la Sociedad Española para las Ciencias del Videojuego, D. Camacho, M.A. Gómez Martín, P.A. González Calero, pp. 46-57, CEUR-WS.org, Vol-1394, 2015, urn:nbn:de:0074-1394-9
  • [C44] R. Nogueras, C. Cotta, Sensitivity Analysis of Checkpointing Strategies for Multimemetic Algorithms on Dynamic Complex Networks, 10th International Conference on Large Scale Scientific Computations, I. Lirkov et al. (eds.), Lecture Notes in Computer Science 9374, pp. 233-240, Springer-Verlag, Berlin Heidelberg, 2015
  • [C45] R. Nogueras, C. Cotta, Self-Sampling Strategies for Multimemetic Algorithms in Unstable Computational Environments, Bioinspired Computation in Artificial Systems, J.M. Ferrández Vicente at al. (eds.), pp. 69-78, Lecture Notes in Computer Science 9108, Springer-Verlag, Berlin Heidelberg, 2015
  • [C46] R. Nogueras, C. Cotta, Self-Balancing Multimemetic Algorithms in Dynamic Scale-Free Networks, Applications of Evolutionary Computation – EvoApplications 2015, A.M. Mora, G. Squillero (eds.), pp. 177-188, Lecture Notes in Computer Science 9028, Springer-Verlag, Berlin Heidelberg, 2015
  • [C47] F. Chávez, E. Clemente. D. Hernández, F. Fernández de Vega, G. Olague, A Multi-Objective Evolutionary Algorithm for interaction systems based on Laser Pointer,  Applications of Evolutionary Computation – EvoApplications 2015, A.M. Mora, G. Squillero (eds.), pp. 504-516, Lecture Notes in Computer Science 9028, Springer-Verlag, Berlin Heidelberg, 2015
  • [C48] P.A. Castillo, A.J. Fernández-Ares, M.G. Arenas, A. Mora, V. Rivas, P. García-Sánchez, G. Romero, P. García-Fernández, J.J. Merelo, SIPESCA-Competition: a set of real data time series benchmark for traffic prediction International work-conference on Time Series – ITISE 2015. Olga Valenzuela et al. (eds.), pp. 785-796, Granada, 2015
  • [C49] F. Fernández, F. Chávez, A. Mora, C. Fernandes, J.J. Merelo, Estudio preliminar sobre visualización y clasificación de la calidad de la emisión de sonido en el clarinete,  X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp. 51-58, Universidad de Extremadura, Mérida, Spain, 2015
  • [C50] M. García García, M. Nogueira, C. Cotta, A. J. Fernández-Leiva, J.J. Merelo Guervós, Implementación de algoritmos meméticos con capacidad de auto-generación sobre CouchBD, X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp. 189-196, Universidad de Extremadura, Mérida, Spain, 2015
  • [C51] J. Díaz, J.M. Colmenar, J.L. Risco, J. Lanchares, Optimización Multi-objetivo del consumo de energía y tiempo de ejecución en una memoria caché de primer nivel para sistemas empotrados,  X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp. 233-240, Universidad de Extremadura, Mérida, Spain, 2015
  • [C52] R. Lara-Cabrera, M. Nogueira, C. Cotta, A.J. Fernández-Leiva, Optimización en Videojuegos: Retos para la Comunidad Científica, X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp. 463-470, Universidad de Extremadura, Mérida, Spain, 2015
  • [C53] F. Chávez, D. Lanza, F. Fernández de Vega, G. Olague, L. Trujillo, Integrando ECJ con Hadoop,  X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp. 511-518, Universidad de Extremadura, Mérida, Spain, 2015
  • [C54] F. Chávez, E. Clemente, D. Hernández, F. Fernández de Vega, G. Olague, Reconocimiento de punto láser en sistemas de interacción mediante algoritmos evolutivos,  X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp. 567-574, Universidad de Extremadura, Mérida, Spain, 2015
  • [C55] L. Navarro, F. Fernández de Vega, C. Cruz, Incluyendo el elitismo en el modelo creativo mediante algoritmos evolutivos desconectados,  X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp. 675-682, Universidad de Extremadura, Mérida, Spain, 2015
  • [C56] Víctor Rivas, Elisabet Parras-Gutiérrez, Antonio Fernández Ares, Pedro A. Castillo, Pedro García-Fernández, Maribel García Arenas, Predicción a muy corto plazo de series temporales de volumen de tráfico rodado mediante co-evolución de RBFNs, X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp.181-188, Universidad de Extremadura, Mérida, Spain, 2015
  • [C57] Pedro A. Castillo, Antonio Fernández Ares, Maribel García Arenas, Antonio Mora, Pablo García Sánchez, Víctor Rivas, SIPESCA-B: presentando un benchmark de series temporales de datos reales para la predicción del tráfico, X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp.197-204, Universidad de Extremadura, Mérida, Spain, 2015
  • [C58] Paloma de Las Cuevas, Antonio Mora, J.J. Merelo, Pedro A. Castillo, Aplicación de Técnicas de Inteligencia Computacional a un Sistema de Ciberseguridad Corporativa, X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp.257-264, Universidad de Extremadura, Mérida, Spain, 2015
  • [C59] Antonio Fernández Ares, Pablo García Sánchez, Antonio Mora, Pedro A. Castillo, Diseño de bots competitivos para un juego de estrategia en tiempo real usando programación genética: análisis de funciones de fitness,  X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, F. Chávez de la O, R.M. Luque Baena, F. Luna, F. Fernández de Vega (eds.), pp.471-478, Universidad de Extremadura, Mérida, Spain, 2015.
  • [C60] P. García-Sánchez, A. Fernández-Ares, P. A. Castillo, M. I. García Arenas, P. de las Cuevas, G. Romero, J. J. Merelo, J. González, A. M. Mora, P. García-Fernández, Arquitectura de bajo coste para monitorización de vehículos y personas usando Bluetooth y WiFi, Actas de las VI Jornadas de Computación Empotrada (JCE 2015). González-Peñalver et al. (Eds). Editorial Pedro del Río Obejo. Córdoba, Spain, 2015.
  • [C61] P. García-Sánchez, A. Tonda, A.M. Mora, G. Squillero, J.J. Merelo, Towards Automatic StarCraft Strategy Generation Using Genetic Programming. IEEE Conference on Computational Intelligence and Games – CIG 2015, IEEE Press, pp. 284-291, Tainan (Taiwan), 2015.
  • [C62] F. Chávez, F. Fernández de Vega, Assessing Quality of Sound Emission in Beginning Clarinetists Usign Optimizaton Processes, 16th International Society for Music Information Retrieval Conference, Late-Breaking Demo, Malaga, Spain, 2015.
  • [C63] D. Lanza, F. Chávez, F. Fernandez, M. Garcia-Valdez, L. Trujillo and G. Olague, Profiting from several recommendation algorithms using a scalable approach, Numerical and Evolutionary Optimization – NEO 2015, pp. 59-60, Tijuana, México, September 23th-25th, 2015.
  • [C64] D. Lanza, F. Chávez, F. Fernández de Vega, C. Benavides-Alvarez and J. Villegas, Speeding up evolutionary approaches to face recognition by means of Hadoop. Numerical and Evolutionary Optimization NEO 2015, pp. 65-66, Tijuana, México, September 23th-25th, 2015.
  • [C65] H.D. Menéndez, A tutorial on manifold clustering using genetic algorithms, International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), pp. 1-6, IEEE Press, Madrid, Spain, 2015, DOI: 10.1109/INISTA.2015.7276718
  • [C66] A. M.Nogareda, D. Camacho, Constraint-based model design for timetabling problems in secondary schools, International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), pp. 1-6, IEEE Press, Madrid, Spain, 2015, DOI: 10.1109/INISTA.2015.7276777
  • [C67] H.D. Menéndez, D. Camacho, MOGCLA: A Multi-Objective Genetic Clustering Algorithm for Large Data Analysis, 2015 Conference Companion on Genetic and Evolutionary Computation (GECCO’15), S. Silva (Ed.), pp. 1437-1438, ACM Press, New York NY, 2015, DOI:10.1109/CEC.2015.7256951
  • [C68] C. Ramirez-Atencia, G. Bello-Orgaz, M.D. R-Moreno and D. Camacho, A Hybrid MOGA-CSP for Multi-UAV Mission Planning, 2015 Conference Companion on Genetic and Evolutionary Computation (GECCO’15), S. Silva (Ed.), pp. 1205-1208, ACM Press, New York NY, 2015, DOI:10.1145/2739482.2768481
  • [C69] H.D. Menéndez, D. Camacho, Gany: a genetic spectral-based clustering algorithm for large data analysis, IEEE Congress on Evolutionary Computation – CEC 2015, Shigeru Obayashi, Carlo Poloni,  Tadahiko Murata (Eds.), pp. 640-647, IEEE Press, Sendai, Japan, 2015, DOI:10.1109/CEC.2015.7256951
  • [C70] V. Rodríguez-Fernández, C. Ramírez-Atencia,  D. Camacho, A multi-UAV mission planning videogame-based framework for player analysis. IEEE Congress on Evolutionary Computation – CEC 2015, Shigeru Obayashi, Carlo Poloni,  Tadahiko Murata (Eds.), pp. 1490-1497, IEEE Press, Sendai, Japan, 2015, DOI: 10.1109/CEC.2015.7257064
  • [C71] C. Ramirez-Atencia, G. Bello-Orgaz, M.D. R-Moreno and D. Camacho, Performance Evaluation of Multi-UAV Cooperative Mission Planning Models, 7th International Conference on Computational Collective Intelligence Technologies and Applications  – ICCCI 2015, M. Núñez, T.N. Nguyen, D. Camacho and B. Trawiński (Eds.), pp. 203-212, Lecture Notes in Computer Science 9330, Springer, Berlin Heidelberg, 2015, DOI: 10.1007/978-3-319-24306-1_20
  • [C72] V. Rodríguez-Fernández, H. D. Menéndez, D. Camacho, User Profile Analysis for UAV Operators in a Simulation Environment, 7th International Conference on Computational Collective Intelligence Technologies and Applications – ICCCI 2015, M. Núñez, T.N. Nguyen, D. Camacho and B. Trawiński (Eds.), pp. 338-347, Lecture Notes in Computer Science 9330, Springer, Berlin Heidelberg, 2015, DOI: 10.1007/978-3-319-24069-5_32
  • [C73] V. Rodríguez-Fernández, H. D. Menéndez, D. Camacho, Analyzing planning and monitoring skills of users in a multi-UAV simulation environment, Advances in Artificial Intelligence – CAEPIA 2015, José M. Puerta, José A. Gámez, Bernabe Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar (Eds.), pp. 255-264, Lecture Notes in Computer Sciences 9422, Springer, Berlin Heidelberg, 2015, DOI: 10.1007/978-3-319-24598-0_23
  • [C74] A. Gonzalez-Pardo, J. Del Ser, D. Camacho, On the Applicability of Ant Colony Optimization to Non-Intrusive Load Monitoring in Smart Grids, Advances in Artificial Intelligence – CAEPIA 2015, José M. Puerta, José A. Gámez, Bernabe Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar (Eds.), pp. 312-321, Lecture Notes in Computer Science 9422, Springer, Berlin Heidelberg, 2015
  • [C75] V. Rodríguez-Fernández, C. Ramírez-Atencia, D. Camacho, A Summary of Player Assessment in a Multi-UAV Mission Planning Serious Game, CoSeCiVi’15: II Congreso de la Sociedad Española para las Ciencias del Videojuego, D. Camacho, M.A. Gómez Martín, P.A. González Calero (Eds.), pp. 180-185, CEUR-WS.org, Vol-1394, 2015, urn:nbn:de:0074-1394-9
  • [C76] V. Rodríguez-Fernández, H. D. Menéndez, D. Camacho, Design and development of a lightweight multi-UAV simulator, 2nd IEEE International Conference on Cybernetics – CYBCONF 2015, Piotr Jędrzejowicz, Ngoc Thanh Nguyen, Tzung-Pei Hong, Ireneusz Czarnowski (Eds.), pp. 255-260, ISBN: 978-1-4799-8320-9, Gdynia Poland, June 24-26, 2015, DOI: 10.1109/CYBConf.2015.7175942
  • [C77] V. Rodríguez-Fernández, A. González-Pardo, D. Camacho, Modeling the Behavior of Unskilled Users in a Multi-UAV Simulation Environment, 16th International Conference on Data Extraction and Automated Learning – IDEAL 2015,  Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michał Woźniak, Hujun Yin (Eds.), pp.  441-448, Lecture Notes in Computer Science 9375, Springer-Verlag, Berlin Heidelberg, 2015, DOI: 10.1007/978-3-319-24834-9_51.
  • [C78] G. Bello-Orgaz, C. Ramirez-Atencia, J. Fradera-Gil, D. Camacho, GAMPP: Genetic Algorithm for UAV Mission Planning Problems, 9th International Symposium on Intelligent Distributed Computing – IDC’2015,  Paulo Novais, David Camacho, Cesar Analide, Amal El Fallah Seghrouchni, Costin Badica (Eds.), Studies in Computational Intelligence 616, pp. 167-176, Springer-Verlag, Berlin Heidelberg, 2015, DOI: 10.1007/978-3-319-25017-5_16
  • [C79] O. M. Losada Suarez, V. Rodríguez Fernández, C. Ramírez-Atencia and D.Camacho, Desarrollo de una plataforma basada en Unity3D para la aplicacion de IA en videojuegos, III Congreso de la Sociedad Española para las Ciencias del Videojuego (CoSECiVi 2016), D. Camacho, M.A. Gómez Martín, P.A. González Calero (Eds.), Barcelona, Spain, 29th June, 2016
  • [C80] S. Garcia and D.Camacho, Educapiz: Una herramienta para educacion infantil basada en serious games, III Congreso de la Sociedad Española para las Ciencias del Videojuego (CoSECiVi 2016), D. Camacho, M.A. Gómez Martín, P.A. González Calero (Eds.), Barcelona, Spain, 29th June, 2016
  • [C81] D. Camacho, Bio-inspired clustering: Basic features and future trends in the era of Big Data, 2nd IEEE International Conference on Cybernetics – CYBCONF 2015, Piotr Jędrzejowicz, Ngoc Thanh Nguyen, Tzung-Pei Hong, Ireneusz Czarnowski (Eds.), pp. 1 – 6, ISBN: 978-1-4799-8320-9, Gdynia Poland, June 24-26, 2015.DOI: 10.1109/CYBConf.2015.7175942
  • [C82] L. Navarro, F. Fernández de Vega, C. Cruz, P. Hernández, J. V. Albarrán, Analysing Creative Models Based on Unplugged Evolutionary Algorithms. Proceedings IEEE WCCI 2016. PP. 4570-4577.
  • [C83] R. Nogueras, C. Cotta, Evaluating island-based EAs on unstable networks with complex failure patterns, Proceedings of GECCO’ 17 Companion (late breaking abstract). Berlin, Germany (2017), 2 pages
  • [C84] R. Nogueras, C. Cotta, A Performance Analysis of Self-* Evolutionary Algorithms on Networks with Correlated FailuresIntelligent Distributed Computing XI, Ivanović M., Bădică C., Dix J., Jovanović Z., Malgeri M., Savić M. (eds.), Studies in Computational Intelligence 737, pp. 3-13, Springer, Cham, 2017
  • [C85] Mario García Valdez, José Christian Romero, Alejandra Mancilla, Juan Julián Merelo Guervós: Exploiting the social graph: Increasing engagement in a collaborative Interactive Evolution application. 2017 IEEE Congress on Evolutionary Computation, CEC 2017, PP. 749-756. IEEE 2017, ISBN 978-1-5090-4601-0. Donostia, San Sebastián, Spain, June 5-8, 2017
  • [c86]Mario García Valdez, José C. Romero, Alejandra Mancilla, Juan J. Merelo, Francisco Fernández de Vega: Gamification techniques in collaborative interactive evolutionary computationGenetic and Evolutionary Computation Conference, Companion Material Proceedings. PP. 87-88. ISBN 978-1-4503-4939-0. ACM 2017. Berlin, Germany, July 15-19, 2017
  • [C87]Amaury Hernandez-Aguila, Mario García Valdez, Juan Julián Merelo Guervós, Oscar Castillo: Randomized parameter settings for a pool-based particle swarm optimization algorithm: a comparison between dynamic adaptation of parameters and randomized parameterizationCompanion Material Proceedings. PP. 205-206. ISBN 978-1-4503-4939-0. ACM 2017. Berlin, Germany, July 15-19, 2017
  • [C88]Mario García Valdez, Juan Julián Merelo Guervós. evospace-js: asynchronous pool-based execution of heterogeneous metaheuristics. Companion Material Proceedings. PP. 1202-1208. ISBN 978-1-4503-4939-0. ACM 2017. Berlin, Germany, July 15-19, 2017
  • [C89]Mario García Valdez, Juan Julián Merelo Guervós. Benchmarking a pool-based execution with GA and PSO workers on the BBOB noiseless testbed. Companion Material Proceedings. PP. 1750-1755. ISBN 978-1-4503-4939-0. ACM 2017. Berlin, Germany, July 15-19, 2017
  • [C90] R. Nogueras, C. Cotta, Analyzing Resilience to Computational Glitches in Island-based Evolutionary Algorithms, Parallel Problem Solving from Nature 2018 – PPSN XV, A. Auger, L. Paquete, D. Whitley (eds.), pp. 411-423. Lecture Notes in Computer Science 11101, Springer-Verlag, Berlin Heidelberg, 2018
  • [C91] C.M. Fernandes, J. Luís Jiménez Laredo, J.J. Merelo Guervós, C. Cotta, A.C. Rosa, Dynamic Models of Partially Connected Topologies for Population-based Metaheuristics, 2018 IEEE World Congress on Computational Intelligence, IEEE Press, Rio de Janeiro, Brazil, 2018
  • [C92] A. Gutiérrez Rodríguez, C. Cotta, A.J. Fernández Leiva, An Evolutionary Approach to Metroidvania Videogame Design, XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, Granada (Spain), 2018. (In press)
  • [C93] V. Rodriguez-Fernandez, A. González-Pardo and D. Camacho Finding Behavioral Patterns of UAV Operators using Multichannel Hidden Markov Models, in proceedings of 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Yaochu Jin and Stefanos Kollias (Eds.), Athens, Greece, December 2016.DOI: 10.1109/SSCI.2016.7850101
  • [C94] C. Ramirez-Atencia, G. Bello-Orgaz, M. D. R-Moreno and D. Camacho MOGAMR: A Dynamic Multi-Objective Genetic Algorithm for Real-Time Mission Replanning, in proceedings of 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Yaochu Jin and Stefanos Kollias (Eds.), Athens, Greece, December 2016.DOI: 10.1109/SSCI.2016.7850101
  • [C95] A. González-Pardo, J. del Ser and D. Camacho Quantitative Analysis and Performance Study of Ant Colony Optimization models applied to Multi-Mode Resource Constraint Project Scheduling Problem, In proceedings of 3rd International Conference on the Harmony Search Algorithm (ICHSA 2017), Advances in Intelligent Systems and Computing book series (AISC, volume 514) pp 145-154, Bilbao, Spain, February 2017.DOI: 10.1007/978-981-10-3728-3_15
  • [C96] C. Ramirez-Atencia, V. Rodríguez-Fernández, A. Gonzalez-Pardo and D. Camacho New Artificial Intelligence Approaches for Future UAV Ground Control Stations, In proceedings of 2017 IEEE Congress on Evolutionary Computation (IEEE CEC). Pp. 2775-2782, J.A. Lozano (Eds.), Donosti, España, 5-8 June, 2017. DOI: 10.1109/CEC.2017.7969645.
  • [C97] J. Torregrosa, I. Gilpérez-López, R. Lara-Cabrera, D. Garriga, D. Camacho Can an Automatic Tool Assess Risk of Radicalization Online? A Case Study on Facebook, In proceedings of 2017 European Intelligence and Security Informatics Conference (EISIC 2017), Athens, Greece, 11-13 September 2017. DOI: 10.1109/EISIC.2017.36
  • [C98] R. Lara-Cabrera, A. González-Pardo, M. Barhamgi, D. Camacho Extracting Radicalisation Behavioural Patterns from Social Network Data, 28th International Workshop on Database and Expert Systems Applications (DEXA Workshops), pp: 6-10. Lyon, France, August 28-31, 2017. DOI: 10.1109/DEXA.2017.18
  • [C99] I. Gilpérez-López, J. Torregrosa, M. Barhamgi, D. Camacho An Initial Study on Radicalization Risk Factors: Towards an Assessment Software Tool, 28th International Workshop on Database and Expert Systems Applications (DEXA Workshops), pp: 11-16. Lyon, France, August 28-31, 2017. DOI: 10.1109/DEXA.2017.19
  • [C100] A. Panizo, G. Bello-Orgaz, A. Ortega, D. Camacho Community finding in dynamic networks using a genetic algorithm improved via a hybrid immigrants scheme, 2The 13th International Conference on Data Science and Knowledge engineering for Sensing Decision Support. Belfast, Northern Ireland, August 21-24, 2018. DOI: 10.1142/9789813273238_0076
  • [C101] A. Martin, R. Lara-Cabrera, D. Camacho A new tool for static and dynamic Android malware analysis, The 13th International Conference on Data Science and Knowledge engineering for Sensing Decision Support. Belfast, Northern Ireland, August 21-24, 2018. DOI: 10.1142/9789813273238_0066
  • [C102] C. Ramirez-Atencia, V. Rodríguez-Fernández, D. Camacho A Multi-Criteria Decision Support System for Multi-UAV Mission Planning, The 13th International Conference on Data Science and Knowledge engineering for Sensing Decision Support. Belfast, Northern Ireland, August 21-24, 2018. DOI: 10.1142/9789813273238_0137
  • [C103] A. Panizo, G. Bello-Orgaz, A. Ortega, D. Camacho A Genetic Algorithm with local search based on Label Propagation for detecting dynamic communities, The 12th International Symposium on Intelligent Distributed Computing. Bilbao, Spain, October 15-17, 2018. DOI: to be assigned
  • [C104] A. Martín, H. D. Ménendez and D. Camacho Studying the influence of Static API Calls for Hiding Malware, T17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Lecture Notes in Computer Science, Volume 9868, pp. 363-372, 2018. DOI: 10.1007/978-3-319-44636-3_34
  • [C105] O. Manuel Losada Suarez, V. Rodríguez Fernández, C. Ramírez-Atencia and D. Camacho Desarrollo de una plataforma basada en Unity3D para la aplicación de IA en videojuegos, In Proceedings of III Congreso de la Sociedad Española para las Ciencias del Videojuego (CoSECiVi 2016), vol. 1682, pp. 135 – 146, D. Camacho, M.A. Gómez Martín, P.A. González Calero (Eds.), CEUR-WS.org, Barcelona, Spain, 29th June, 2016. DOI: 10.1007/978-3-319-44636-3_34
  • [C106] Mohammed Salem, Antonio Miguel Mora, Juan Julián Merelo Guervós, Pablo García-Sánchez. Evolving a TORCS Modular Fuzzy Driver Using Genetic Algorithms. Applications of Evolutionary Computation – 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings. Lecture Notes in Computer Science 10784, PP. 342-357, ISBN 978-3-319-77537-1, Springer 2018
  • [C107] Carlos M. Fernandes, Agostinho C. Rosa, Nuno Fachada, Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós. Particle swarm and population structure. Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, PP. 85-86, ACM 2018, Kyoto, Japan, July 15-19, 2018
  • [C108] José Mario García Valdez, Juan Julián Merelo Guervós. A modern, event-based architecture for distributed evolutionary algorithms. Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, PP. 233-234, ACM 2018, Kyoto, Japan, July 15-19, 2018
  • [C109] Juan Julián Merelo Guervós. Cloudy distributed evolutionary computation. Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, PP. 1138-1140, ACM 2018, Kyoto, Japan, July 15-19, 2018
  • [C110] Juan Julián Merelo Guervós, José Mario García Valdez. Performance improvements of evolutionary algorithms in Perl 6. Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, PP. 1371-1378, ACM 2018, Kyoto, Japan, July 15-19, 2018
  • [111] Juan Julián Merelo Guervós, José Mario García Valdez. Mapping evolutionary algorithms to a reactive, stateless architecture: using a modern concurrent language. Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, PP. 1870-1877, ACM 2018, Kyoto, Japan, July 15-19, 2018
  • [C112] Mohammed Salem, Antonio Miguel Mora, Juan Julián Merelo Guervós, Pablo García-Sánchez. Applying Genetic Algorithms for the Improvement of an Autonomous Fuzzy Driver for Simulated Car Racing. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications – 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III. Communications in Computer and Information Science 855, PP. 236-247, ISBN 978-3-319-91478-7, Springer 2018
  • [C113] Mario García Valdez, Juan Julián Merelo Guervós, Lucero Lara, Pablo García-Sánchez. Increasing Performance via Gamification in a Volunteer-Based Evolutionary Computation System. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications – 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III. Communications in Computer and Information Science 855, PP. 342-353, ISBN 978-3-319-91478-7, Springer 2018
  • [C114] Juan Julián Merelo Guervós, José Mario García Valdez. Introducing an Event-Based Architecture for Concurrent and Distributed Evolutionary Algorithms. Parallel Problem Solving from Nature – PPSN XV – 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11101, PP. 399-410, ISBN 978-3-319-99252-5, Springer 2018
  • [C115] Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro Simone Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang. Tutorials at PPSN 2018. Parallel Problem Solving from Nature – PPSN XV – 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11102, PP. 477-489, ISBN 978-3-319-99258-7, Springer 2018
  • [C116] Juan Julián Merelo Guervós, Pedro A. Castillo, Antonio Miguel Mora, Mario García Valdez, Carlos Cotta, Carlos M. Fernandes. Self-organized criticality in code repositories. Proceedings of the Fourteenth European Conference Artificial Life, ECAL 2017, PP. 545-552. ISBN 978-0-262-34633-7, MIT Press 2017, Lyon, France, September 4-8, 2017
  • [C117] Josefa Díaz Álvarez, Francisco Chávez de la O, Juan Ángel García Martínez, Pedro Ángel Castillo Valdivieso, Francisco Fernández de Vega. Estimating Energy Consumption in Evolutionary Algorithms by Means of FRBS – Towards Energy-Aware Bioinspired Algorithms. Progress in Artificial Intelligence – 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, Proceedings. Lecture Notes in Computer Science 10423, PP. 229-240, ISBN 978-3-319-65339-6. Springer 2017
  • [C118] Juan Julián Merelo Guervós, Israel Blancas-Alvarez, Pedro A. Castillo, Gustavo Romero, Pablo García-Sánchez, Víctor M. Rivas, Mario García Valdez, Amaury Hernández-Águila, Mario Román. Ranking Programming Languages for Evolutionary Algorithm Operations. Applications of Evolutionary Computation – 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10199, PP. 689-704. ISBN 978-3-319-55848-6, 2017
  • [C119] Juan Julián Merelo Guervós, Pedro A. Castillo, Mario García Valdez. Finding Self-organized Criticality in Collaborative Work via Repository Mining. Advances in Computational Intelligence – 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10305, PP. 483-496, ISBN 978-3-319-59152-0. Springer 2017
  • [C120] Antonio Fernández-Ares, María Isabel García Arenas, Pedro A. Castillo, Juan Julián Merelo Guervós. Impact of Protests in the Number of Smart Devices in Streets: A New Approach to Analyze Protesters Behavior. Smart Cities – Second International Conference, Smart-CT 2017, Málaga, Spain, June 14-16, 2017, Proceedings. Lecture Notes in Computer Science 10268, PP. 75-85, ISBN 978-3-319-59512-2, Springer 2017
  • [C121] Mohammed Salem, Antonio Miguel Mora, Juan Julián Merelo Guervós, Pablo García-Sánchez. Driving in TORCS Using Modular Fuzzy Controllers. Applications of Evolutionary Computation – 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10199, PP. 361-376. ISBN 978-3-319-55848-6, 2017
  • [C122] Juan Julián Merelo Guervós, Paloma de las Cuevas, Pablo García-Sánchez, Mario García Valdez. A Performance Assessment of Evolutionary Algorithms in Volunteer Computing Environments: The Importance of Entropy. Applications of Evolutionary Computation – 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10199, PP. 806-821. ISBN 978-3-319-55848-6, 2017
  • [C123] Amaury Hernandez-Aguila, Mario García Valdez, Oscar Castillo, Juan Julián Merelo Guervós. An open source implementation of an intuitionistic fuzzy inference system in Clojure. 2017 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2017, PP. 1-6, IEEE 2017, ISBN 978-1-5090-6034-4. Naples, Italy, July 9-12, 2017
  • [C124] Mario García Valdez, Amaury Hernández-Águila, Juan Julián Merelo Guervós, Alejandra Mancilla Soto. Enhancing Student Engagement via Reduction of Frustration with Programming Assignments using Machine Learning. Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI 2017, PP. 297-304, SciTePress 2017, ISBN 978-989-758-274-5, Funchal, Madeira, Portugal, November 1-3, 2017
  • [C125] Antonio Álvarez-Caballero, Juan Julián Merelo Guervós, Pablo García-Sánchez, Antonio Fernández-Ares. Early Prediction of the Winner in StarCraft Matches. Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI 2017, PP. 401-406, SciTePress 2017, ISBN 978-989-758-274-5, Funchal, Madeira, Portugal, November 1-3, 2017
  • [C126] F. Chávez, Francisco Fernández de Vega, Javier Díaz, J. A. García, F. J. Rodriguez, Pedro A. Castillo. Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system. Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, PP. 9-10. ACM 2018, Kyoto, Japan, July 15-19, 2018
  • [C127] Jorge Ruiz-Quiñones,  Antonio J. Fernández-Leiva. Computational Creativity and Game Design: Towards Procedural Game Generation19th International Conference on Intelligent Games and Simulation (GAME-ON2018), Dundee Scotland, UK, 18-20 September, 2018.
  • [C128] P. García-Sánchez, M. J. Cobo. Measuring the impact of the international relationships of the Andalusian universities using Dimensions database. 19th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018), 21-23 November, Madrid (accepted for publication)
  • [C129] José Manuel Martínez González, Pablo García Sánchez, Manuel Palomo and Pablo Delatorre. Implementación de generador estocástico de partidas mediante la configuración de dimensiones afectivas. XVIII Conference of the Spanish Association for Artificial Intelligence (CAEPIA), October 23-26, 2018 (accepted for publication)
  • [C130] Pablo García Sánchez, Julio Ortega, Jesús González Peñalver, Pedro Castillo, JJ Merelo, Antonio Miguel Mora and Antonio Fernández-Ares. Optimización evolutiva multiobjetivo distribuida mediante aplicación selectiva de operadores. XVIII Conference of the Spanish Association for Artificial Intelligence (CAEPIA), October 23-26, 2018 (accepted for publication)
  • [C131] A.M. Mora, A. Gutiérrez-Rodríguez, A.J. Fernández-Leiva. Optimising Humanness: Designing the best human-like Bot for Unreal Tournament 2004. 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, LNCS 10306, ISBN 978-3-319-59147-6. I. Rojas et al. Eds. pp. 681-693. Cádiz, 2017
  • [C132]  A. Gutiérrez-Rodríguez, A.M. Mora, A.J. Fernández-Leiva. Optimizando la humanidad: diseñando el mejor bot con comportamiento humano para Unreal Tournament 2004. Cuarto Congreso de la Sociedad Española para las Ciencias del Videojuego (CoSECiVi 2017). CEUR Workshop Proceedings (Vol-1957), ISSN 1613-0073, D. Camacho et al. Eds. pp. 103-118. Barcelona, 2017
  • [C133] H. Jawazneh, A.M. Mora, P.A. Castillo. Predicting the financial status of companies using data balancing and classification methods. International Work-conference on Time Series (ITISE 2017). Godel Impresiones Digitales S.L., ISBN 978-84-17293-01-7, O. Valenzuela et al. Eds. pp. 661-673. Granada, 2017
  • [C134] A.M. Mora, H. Jawazneh, P.A. Castillo. Predicción de Quiebra Financiera de Empresas Mediante Equilibrado de Datos y Clasificación. III Jornadas Andaluzas de Informática (JAI 2017), Ediciones DON FOLIO, ISBN 978-84-17171-05-6. J.C. Gámez et al. Eds. pp. 785-796. Canillas de Aceituno (España), 2017
  • [C135] A. Rodan, P.A. Castillo, H. Faris, Ala’ M. Al-Zoubi, A.M. Mora, H. Jawazneh. Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESSAN 2018). i6doc Publishers, ISBN 978-287587047-6. F. Blayo et al. Eds. pp. 431-436. Brujas (Bélgica), 2018
  • [C136] R.M. Luque-Baena, J.E. Agudo, F. Chávez, J.F. Valenzuela, F. Luna. Selección robusta de características biométicas usando ensembles y metaheurísticas multiobjetivo paralelas. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA2015), ISBN: 978-84-608-4099-2. pp. 331-341. Albacete, Castilla la Mancha (España), 2015
  • [C137] F.J. Rodríguez, A. García, P.J. Pardo, F. Chávez, R.M. Luque-Baena. Estudio y caracterización de variedades de ciruelas utilizando análisis de imágenes y técnicas de Depp Learning.  V Congreso español de Informática – XI TAMIDA 2016. pp. 745-754. Salamanca (España), 2016.
  • [C138] F. Fernández, F. Chávez, J. Díaz, J.A. García, P.A. Castillo, J. J. Merelo, C.  Cotta. A Cross-Platform Assessment of Energy Consumption in Evolutionary Algoritms. 14th International Conference on Parallel Problem Solving for Nature (PPNS 2016), pp. 548-557, ISBN: 978-3-319-45822-9, Edinburg, Scotland, (UK), 2016
  • [C139] O. Peñaloza, E. Clemente, M. Meza, C.B. Pérez, F. Chávez. GP-Based Motion Control Design for the Double-Integrator System Subject too Velocity Constraint. The Genetic and Evolutionary Computation Conference (GECCO 2017). pp. 73-74. ISBN: 978-1-4503-4939-0. Berlín (Alemania), 2017
  • [C140] J. Villegas, A. Cruz, F. Fernández, F. Chávez, C. Augusto. Evolution of statistical descriptors for the image recognition of natural sceneries by the CBIR and genetic programming. Numerical and Evolution Optimization (NEO 2017). pp. 111-112. Tijuana (Mexico), 2017
  • [C141] F. Fernández, F. Chávez, M. C. García. Involving local administrations in STEM promotion: how to extend STEM initiatives to a whole region. Frontiers in Education (FIE 2017). pp. 1-7, Indianapolis, Indiana (EEUU), 2017
  • [C142] F. Chávez, F. Fernández, F. J. Rodríguez. Analyzing quality clarinet sound using deep learning. A preliminary study. IEEE Symposium Series on Computational Intelligence (SSCI 2017). pp. 3235-3241, Honolulu, Hawaii (EEUU), 2017
  • [C143] F. Chávez, B. Rodríguez, F. Fernández. MAENERGY: A tool for measuring and analyzing evolutionary algorithms energy consumption in mobile devices. The Leading European Event on Bio-Inspired Computation (EVO 2018). Parma (Italia), 2018.
  • [C144] F. Chávez, B. Rodríguez, F. Fernández. MAENERGY: CGP4MATLAB:  A Cartesian Genetic Programming Matlab toolbox for audio and image processing (EVO 2018). Parma (Italia).  Springer LNCS 10784, pp. 455–471, 2018.  https://doi.org/10.1007/978-3-319-77538-8_31
  • [C145] F. Chávez, F. Fernández, J. Díaz, J.A. García, F.J. Rodríguez, P. A. Castillo. Energy-consumption prediction of Genetic Programming Algorithms using a Fuzzy Rule-Based System. The Genetic and Evolutionary Computation Conference (GECCO 2018). pp. 9-10. Kyoto (Japón), 2018
  • [C146] F. Fernández, M. C. García, F. Chávez. On the impact of STEM sustained actions on the future of young students. IEEE Frontiers in Education (FIE 2018). San José, California (EEUU). 2018 [forthcoming]
  • [C147] F. Chávez, B. Rodríguez, F. Fernández, R. L. Luque-Baena. Detección de variedad y estado de maduración del ciruelo japonés utilizando imágenes hiperespectrales y aprendizaje profundo. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018). Granada, (España). 2018 [forthcoming]
  • [C148] B. Rodríguez, F. Díaz, F. Fernández, F. Chávez. Un análisis preliminar de nuevos modelos de mutación dirigida en algoritmos genéticosXVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018). Granada, (España). 2018 [forthcoming]
  • [C149]  F. Fernández de Vega. Propuestas de mejora para la evaluación del arte evolutivo. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018). Granada, (España). 2018 [forthcoming]

Technical Reports

  • [TR1] J. J. Merelo, M García-Valdez, PA Castillo, P García-Sánchez, P Cuevas, Nuria Rico, NodIO, a JavaScript framework for volunteer-based evolutionary algorithms: first results, arXiv preprint arXiv:1601.01607 (2016)
  • [TR2] J.J. Merelo Guervós, P. García-Sánchez, Modeling browser-based distributed evolutionary computation systems, CoRR abs/1503.06424 (2015)
  • [TR3] Juan Julián Merelo Guervós, Elena Merelo-Molina. Temporal evolution of notoriety of Wikipedia pages with origin in social networks. CoRR abs/1703.03424 (2017)
  • [TR4] Juan Julián Merelo Guervós. Artificial life, complex systems and cloud computing: a short review. CoRR abs/1710.02553 (2017)
  • [TR5] Juan Julián Merelo Guervós, Antonio Fernández-Ares, Antonio Álvarez-Caballero, Pablo García-Sánchez, Víctor M. Rivas. RedDwarfData: a simplified dataset of StarCraft matches. CoRR abs/1712.10179 (2017)
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