Publications

JOURNALS

  • R. Nogueras, C. Cotta, On the Use of Self-* Island-based Evolutionary Computation Methods on Complex Environments, Journal of Computer Science and Information Systems, Volume 15, Issue 3, pp. 733-750, 2018, DOI:10.2298/CSIS180115032N.
  • R. Nogueras, C. Cotta, Analyzing Self-* Island-based Memetic Algorithms in Heterogeneous Unstable Environments, International Journal of High Performance Computing Applications, Volume 32, Issue 5, pp. 676-692, 2017, DOI: 10.1177/1094342016678665.
  • R. Nogueras, C. Cotta, Self-Healing Strategies for Memetic Algorithms in Unstable and Ephemeral Computational Environments, Natural Computing, Volume 16, Issue 2, pp. 189-200, 2017, DOI: 10.1007/s11047-016-9560-7.
  • R. Nogueras, C. Cotta, Studying Self-Balancing Strategies in Island-Based Multimemetic Algorithms, Journal of Computational and Applied Mathematics, Volume 293, pp. 180-191, 2016, DOI: 10.1016/j.cam.2015.03.047.
  • R. Nogueras, C. Cotta, A Study on Meme Propagation in Multimemetic Algorithms, International Journal of Applied Mathematics and Computer Science, Volume 25, Issue 3, pp. 499-512, 2015, DOI: 10.1515/amcs-2015-0037.
  • R. Nogueras, C. Cotta, Studying Fault-Tolerance in Island-Based Evolutionary and Multimemetic Algorithms, Journal of Grid Computing, Volume 13, Issue 3, pp. 351-374, 2015, DOI: 10.1007/s10723-014-9315-6.
  • F. Liébana-Cabanillas, R. Nogueras, L.J. Herrera, A. Guillén, Analysing user Trust in Electronic Banking using Data Mining Methods, Expert Systems with Applications, Volume 40, Issue 14, pp. 5439-5447, Ed. Pergamon, 2013, DOI: 10.1016/j.eswa.2013.03.010.

BOOK CHAPTERS

  • 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.

CONFERENCES AND SYMPOSIA

  • R. Nogueras, C. Cotta, Analyzing Resilience to Computational Glitches in Island-based Evolutionary Algorithms, Parallel Problem Solving from Nature 2018 – PPSN XV, Auger A., Paquete L., Whitley D. (eds.), Lecture Notes in Computer Science 11101, pp. 411-423, Springer-Verlag, Berlin Heidelberg, 2018.
  • R. Nogueras, C. Cotta, A Performance Analysis of Self-* Evolutionary Algorithms on Networks with Correlated Failures, Intelligent Distributed Computing XI, Ivanović M., Bădică C., Dix J., Jovanović Z., Malgeri M., Savić M. (eds.), Studies in Computational Intelligence, vol. 737, pp. 3-13, Springer, Cham, 2017.
  • R. Nogueras, C. Cotta, Evaluating Island-based EAs on Unstable Networks with Complex Failure Patterns, Proceedings of the Genetic and Evolutionary Conference Companion 2017 (late breaking abstract), pp. 39-40, ACM Press, New York NY, 2017.
  • 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.), Lecture Notes in Computer Science, 9921, pp. 548-557, Springer, Berlin Heidelberg, 2016.
  • R. Nogueras, C. Cotta, Self-Sampling Strategies for Multimemetic Algorithms in Unstable Computational Environments, Bionspired Computation in Artificial Systems, J.M. Ferrández Vicente et al. (eds.), pp. 69-78, Lecture Notes in Computer Science, 9108, Springer-Verlag, Berlin Heidelberg, 2015.
  • R. Nogueras, C. Cotta, Sensitivity Analysis of Checkpointing Strategies for Evolutionary Algorithms on Dynamic Complex Networks, Large-Scale Scientific Computing – 10th International Conference on Large Scale Scientific Computations, I. Lirkov, S.D. Margenov, J. Waśniewski (eds.), pp. 233-240, Lecture Notes in Computer Science 9374, Springer-Verlag, Berlin Heidelberg, 2015.
  • R. Nogueras, C. Cotta, Self-Balancing Multimemetic Algorithms in Dynamic Scale-Free Networks, Applications of Evolutionary Computation, A.M. Mora, G. Squillero (eds.), pp. 177-188, Lecture Notes in Computer Science, 9028, Springer-Verlag, Berlin Heidelberg, 2015.
  • R. Nogueras, C. Cotta, On Meme Self-Adaptation in Spatially-Structured Multimemetic Algorithms, Numerical Methods and Applications – 8th International Conference, Ivan Dimov, Stefka Fidanova, Ivan Lirkov (eds.), pp. 70- 77, Lecture Notes in Computer Science 8962, Springer-Verlag, Berlin Heidelberg, 2015.
  • C.M. Fernandes, J.L.J. Laredo, J.J. Merelo, C. Cotta, R. Nogueras, A.C. Rosa, Shuffle and Mate: A Dynamic Model for Spatially Structured Evolutionary Algorithms, Parallel Problem Solving from Nature – PPSN XIII, T. Bartz-Beielstein et al. (eds.), pp. 50-59, Lecture Notes in Computer Science 8672, Springer-Verlag, Berlin Heidelberg, 2014.
  • R. Nogueras, C. Cotta, A Study on Multimemetic Estimation of Distribution Algorithms, Parallel Problem Solving from Nature – PPSN XIII, T. Bartz-Beielstein et al. (eds.), pp. 322-331, Lecture Notes in Computer Science 8672, Springer-Verlag, Berlin Heidelberg, 2014.
  • R. Nogueras, C. Cotta, An Analysis of Migration Strategies in Island-Based Multimemetic Algorithms, Parallel Problem Solving from Nature – PPSN XIII, T. Bartz-Beielstein et al. (eds.), pp. 731-740, Lecture Notes in Computer Science 8672, Springer-Verlag, Berlin Heidelberg, 2014.
  • R. Nogueras, C. Cotta, C.M. Fernandes, J.L.J. Laredo, J.J. Merelo, A.C. Rosa, An Analysis of a Selecto-Lamarckian Model of Multimemetic Algorithms with Dynamic Self-Organized Topology, 2nd International Conference on the Theory and Practice of Natural Computing, TPNC 2013, A.H. Dediu (eds.), pp. 205-216, Lecture Notes in Computer Science 8273, Springer-Verlag, Berlin Heidelberg, 2013.
  • R. Nogueras, C. Cotta, Analyzing Meme Propagation in Multimemetic Algorithms: Initial Investigations, Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, pp. 1013-1019, IEEE Press, Cracow (Poland), 2013.
  • F. Liébana-Cabanillas, R. Nogueras, F. Muñoz-Leiva, H. Pomares, A. Guillén, Applying Multi-objective Optimization for Variable Selection to Analyse User Trust in Electronic Banking, Management Intelligent Systems, J. Casillas, F.J. Martínez-López, J.M. Corchado (eds.), Advances in Intelligent Systems and Computing 171, pp. 143-152, Springer-Verlag Berlin Heidelberg, 2012.
  • R. Nogueras, C. Cotta, Using Distribution-based Operators in Genetic Algorithms, Proceedings of the 6th Metaheuristic International Conference, pp. 707-712, Universität Wien, Vienna, Austria, 2005.
  • R. Nogueras, C. Cotta, Introducción de Sesgo Heurístico en Algoritmos Genéticos Mediante Operadores Basados en Distribuciones, IV Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, M.G. Arenas et al., pp. 23-30, Granada, España, 2005.
  • R. Nogueras, C. Cotta, On Partitioned Fitness Distributions of Genetic Operators for Predicting GA Performance, Soft Computing and Industry – Recent Applications, R. Roy, M. Köppen, S. Ovaska, T. Furuhashi, F. Hoffmann (eds.), pp. 729-739, Springer-Verlag, 2002.
  • R. Nogueras, C. Cotta, Using Statistical Techniques to Predict GA Performance, Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence, J. Mira, A. Prieto (eds.), Lecture Notes in Computer Science 2084, pp. 709-716, Springer-Verlag Berlin, 2001.