MANUEL
LOZANO MÁRQUEZ
CATEDRÁTICO DE UNIVERSIDAD
DANIEL
MOLINA CABRERA
PROFESOR TITULAR DE UNIVERSIDAD
Publicaciones en las que colabora con DANIEL MOLINA CABRERA (19)
2017
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Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis’s weakness
Soft Computing, Vol. 21, Núm. 19, pp. 5573-5583
2011
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Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems
Soft Computing
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Iterated greedy for the maximum diversity problem
European Journal of Operational Research, Vol. 214, Núm. 1, pp. 31-38
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Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains
Soft Computing, Vol. 15, Núm. 11, pp. 2201-2220
2010
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MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
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Memetic algorithms for continuous optimisation based on local search chains
Evolutionary Computation, Vol. 18, Núm. 1, pp. 27-63
2009
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A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions
Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009
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A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions
Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009
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A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: A case study on the CEC'2005 Special Session on Real Parameter Optimization
Journal of Heuristics, Vol. 15, Núm. 6, pp. 617-644
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Memetic algorithm with local search chaining for continuous optimization problems: A scalability test
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
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Memetic algorithm with local search chaining for large scale continuous optimization problems
2009 IEEE Congress on Evolutionary Computation, CEC 2009
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Study of the influence of the local search method in memetic algorithms for large scale continuous optimization problems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008
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Global and local real-coded genetic algorithms based on parent-centric crossover operators
European Journal of Operational Research, Vol. 185, Núm. 3, pp. 1088-1113
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Memetic algorithm for intense local search methods using local search chains
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Real-parameter crossover operators with multiple descendents: An experimental study
International Journal of Intelligent Systems
2006
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A local genetic algorithm for binary-coded problems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies
European Journal of Operational Research, Vol. 169, Núm. 2, pp. 450-476
2005
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Adaptive local search parameters for real-coded memetic algorithms
2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
2004
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Real-coded memetic algorithms with crossover hill-climbing
Evolutionary Computation, Vol. 12, Núm. 3, pp. 273-302