2022
|
Al-Twijri, M; Luna, J M; Herrera, F; Ventura, S Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns Journal Article Cognitive Computation, pp. 1-22, 2022. Links | BibTeX | Tags: Bioinspired Algorithms, Data Science, Educational Data Mining, Educational Recommender Systems, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Pattern Mining @article{AlTwijri2022,
title = {Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns},
author = {Al-Twijri, M. and Luna, J. M. and Herrera, F. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12559-022-10015-5},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Computation},
pages = {1-22},
publisher = {Springer US},
keywords = {Bioinspired Algorithms, Data Science, Educational Data Mining, Educational Recommender Systems, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Ventura, S An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis Journal Article Neural Computing and Applications, 34 (13), pp. 10429–10448, 2022. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2022ensemble,
title = {An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s00521-021-06655-7},
year = {2022},
date = {2022-01-01},
journal = {Neural Computing and Applications},
volume = {34},
number = {13},
pages = {10429--10448},
publisher = {Springer},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
García-Martínez, C; Ventura, S Multi-view learning and genetic programming to obtain interpretable rule-based classifiers for semi-supervised contexts. Lessons learnt. Journal Article International Journal of Computational Intelligence Systems, 13 (1), pp. 576-590, 2020. Links | BibTeX | Tags: Classification Rules, Genetic Algorithms, Multi-view Learning, Semi-supervised Learning @article{Garcia2020,
title = {Multi-view learning and genetic programming to obtain interpretable rule-based classifiers for semi-supervised contexts. Lessons learnt.},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {https://www.atlantis-press.com/journals/ijcis/125940875},
year = {2020},
date = {2020-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {13},
number = {1},
pages = {576-590},
keywords = {Classification Rules, Genetic Algorithms, Multi-view Learning, Semi-supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Pechenizkiy, M; Duivesteijn, W; Ventura, S Exceptional in so Many Ways—Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios Journal Article IEEE Access, 8 , pp. 200982-200994, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining @article{Luna2020b,
title = {Exceptional in so Many Ways{\textemdash}Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios},
author = {Luna, J. M. and Pechenizkiy, M. and Duivesteijn, W. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9245545/},
year = {2020},
date = {2020-01-01},
journal = {IEEE Access},
volume = {8},
pages = {200982-200994},
publisher = {IEEE},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Fournier-Viger, P; Ventura, S Extracting user-centric knowledge on two different spaces: Concepts and records Journal Article IEEE Access, 8 , pp. 134782-134799, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining @article{Luna2020,
title = {Extracting user-centric knowledge on two different spaces: Concepts and records},
author = {Luna, J. M. and Fournier-Viger, P. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9145755/},
year = {2020},
date = {2020-01-01},
journal = {IEEE Access},
volume = {8},
pages = {134782-134799},
publisher = {IEEE},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Esteban, A; Zafra, A; Romero, C Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization Journal Article Knowledge-Based Systems, 194 , pp. 105385, 2020. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems, Genetic Algorithms, Metaheuristics @article{Esteban2020,
title = {Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization},
author = {Esteban, A. and Zafra, A. and Romero, C.},
url = {https://www.sciencedirect.com/science/article/pii/S0950705119306306},
doi = {10.1016/j.knosys.2019.105385},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {194},
pages = {105385},
publisher = {Elsevier},
keywords = {Educational Data Mining, Educational Recommender Systems, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Quintero-Domínguez, L; Morell, C; Ventura, S A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming Journal Article Expert Systems with Applications, pp. 114263, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming @article{Quintero2020,
title = {A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming},
author = {Quintero-Dom\^{i}nguez, L. and Morell, C. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S095741742030974X},
year = {2020},
date = {2020-01-01},
journal = {Expert Systems with Applications},
pages = {114263},
publisher = {Pergamon},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
García-Martínez, C; Gutiérrez, P D; Molina, D; Lozano, M; Herrera, F Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness Journal Article Soft Computing, 21 (19), pp. 5573–5583, 2017. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @article{cgarcia17SinceCEC,
title = {Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Guti'{e}rrez, P. D. and Molina, D. and Lozano, M. and Herrera, F.},
doi = {10.1007/s00500-016-2471-9},
year = {2017},
date = {2017-01-01},
journal = {Soft Computing},
volume = {21},
number = {19},
pages = {5573--5583},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
2016
|
Lozano, M; Laguna, M; Martí, R; Rodríguez, F J; García-Martínez, C A genetic algorithm for the minimum generating set problem Journal Article Applied Soft Computing, 48 , pp. 254–264, 2016, ISSN: 15684946. Abstract | Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @article{Lozano2016a,
title = {A genetic algorithm for the minimum generating set problem},
author = {Lozano, M. and Laguna, M. and Mart\^{i}, R. and Rodr\^{i}guez, F. J. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S1568494616303465},
doi = {10.1016/j.asoc.2016.07.020},
issn = {15684946},
year = {2016},
date = {2016-11-01},
journal = {Applied Soft Computing},
volume = {48},
pages = {254--264},
abstract = {Given a set of positive integers S, the minimum generating set problem consists in finding a set of positive integers T with a minimum cardinality such that every element of S can be expressed as the sum of a subset of elements in T. It constitutes a natural problem in combinatorial number theory and is related to some real-world problems, such as planning radiation therapies. We present a new formulation to this problem (based on the terminology for the multiple knapsack problem) that is used to design an evolutionary approach whose performance is driven by three search strategies; a novel random greedy heuristic scheme that is employed to construct initial solutions, a specialized crossover operator inspired by real-parameter crossovers and a restart mechanism that is incorporated to avoid premature convergence. Computational results for problem instances involving up to 100,000 elements show that our innovative genetic algorithm is a very attractive alternative to the existing approaches.},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
Given a set of positive integers S, the minimum generating set problem consists in finding a set of positive integers T with a minimum cardinality such that every element of S can be expressed as the sum of a subset of elements in T. It constitutes a natural problem in combinatorial number theory and is related to some real-world problems, such as planning radiation therapies. We present a new formulation to this problem (based on the terminology for the multiple knapsack problem) that is used to design an evolutionary approach whose performance is driven by three search strategies; a novel random greedy heuristic scheme that is employed to construct initial solutions, a specialized crossover operator inspired by real-parameter crossovers and a restart mechanism that is incorporated to avoid premature convergence. Computational results for problem instances involving up to 100,000 elements show that our innovative genetic algorithm is a very attractive alternative to the existing approaches. |
Cano, A; García-Martínez, C Optimización con 100 millones de variables reales sobre múltiples unidades de procesamiento gráfico Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 377–386, 2016. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Scalability @inproceedings{Cano2016,
title = {Optimizaci\'{o}n con 100 millones de variables reales sobre m\'{u}ltiples unidades de procesamiento gr\'{a}fico},
author = {Cano, A. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {www.uco.es/~i52caroa/pdf/CAEPIA-2016.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},
pages = {377--386},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ventura, S; Luna, J M Pattern Mining with Evolutionary Algorithms Book Springer, 2016, ISBN: 978-3-319-33857-6. Links | BibTeX | Tags: Ant Programming, Association Rule Mining, Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Multi-objective Optimization, Pattern Mining, Subgroup Discovery, Unsupervised Learning @book{VenturaL16,
title = {Pattern Mining with Evolutionary Algorithms},
author = {Ventura, S. and Luna, J. M.},
url = {http://dx.doi.org/10.1007/978-3-319-33858-3},
doi = {10.1007/978-3-319-33858-3},
isbn = {978-3-319-33857-6},
year = {2016},
date = {2016-01-01},
publisher = {Springer},
keywords = {Ant Programming, Association Rule Mining, Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Multi-objective Optimization, Pattern Mining, Subgroup Discovery, Unsupervised Learning},
pubstate = {published},
tppubtype = {book}
}
|
2012
|
Rodriguez, F J; García-Martínez, C; Lozano, M Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test Journal Article IEEE Transactions on Evolutionary Computation, 16 (6), pp. 787–800, 2012, ISSN: 1089-778X. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @article{Rodriguez2012a,
title = {Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test},
author = {Rodriguez, F. J. and Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://ieeexplore.ieee.org/document/6148272/},
doi = {10.1109/TEVC.2012.2182773},
issn = {1089-778X},
year = {2012},
date = {2012-12-01},
journal = {IEEE Transactions on Evolutionary Computation},
volume = {16},
number = {6},
pages = {787--800},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
García-Martínez, C; Lozano, M; Rodríguez-Díaz, F J A simulated annealing method based on a specialised evolutionary algorithm Journal Article Applied Soft Computing, 12 (2), pp. 573–588, 2012, ISSN: 15684946. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @article{garcia2012saea,
title = {A simulated annealing method based on a specialised evolutionary algorithm},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M. and Rodr\^{i}guez-D\^{i}az, F. J.},
url = {http://www.sciencedirect.com/science/article/pii/S1568494611004315?_rdoc=3&_fmt=high&_origin=browse&_srch=cid(272229) AND (itemstage(S5) OR itemstage(S100) OR itemstage(S200))&_docanchor=&_ct=5},
doi = {10.1016/j.asoc.2011.11.007},
issn = {15684946},
year = {2012},
date = {2012-02-01},
journal = {Applied Soft Computing},
volume = {12},
number = {2},
pages = {573--588},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
García-Martínez, C; Rodríguez, F J; Lozano, M Análisis Empírico del No Free Lunch en Problemas Binarios Reales Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12), pp. 111–116, 2012. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Garcia-Martinez2012,
title = {An\'{a}lisis Emp\^{i}rico del No Free Lunch en Problemas Binarios Reales},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Lozano, M.},
url = {http://simd.albacete.org/maeb2012/papers/paper_20.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12)},
pages = {111--116},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
García-Martínez, C; Rodriguez, F J; Lozano, M Arbitrary function optimisation with metaheuristics: No free lunch and real-world problems: No free lunch and real-world problems Journal Article Soft Computing, 16 (12), pp. 2115-2133, 2012. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @article{Garcia-Martinez-2012-SOCO,
title = {Arbitrary function optimisation with metaheuristics: No free lunch and real-world problems: No free lunch and real-world problems},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Rodriguez, F. J. and Lozano, M.},
url = {http://dx.doi.org/10.1007/s00500-012-0881-x},
doi = {10.1007/s00500-012-0881-x},
year = {2012},
date = {2012-01-01},
journal = {Soft Computing},
volume = {16},
number = {12},
pages = {2115-2133},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Rodríguez-Díaz, F J; García-Martínez, C; Lozano, M Metaheurísticas Híbridas combinando algoritmos evolutivos y enfriamiento simulado: taxonomía y estudio comparativo y de sinergia Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12), pp. 243–250, 2012. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Rodriguez-Diaz2012,
title = {Metaheur\^{i}sticas H\^{i}bridas combinando algoritmos evolutivos y enfriamiento simulado: taxonom\^{i}a y estudio comparativo y de sinergia},
author = {Rodr\^{i}guez-D\^{i}az, F. J. and Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://simd.albacete.org/maeb2012/papers/paper_18.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12)},
pages = {243--250},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2011
|
García-Martínez, C; Rodríguez, F J; Lozano, M Analysing the significance of no free lunch theorems on the set of real-world binary problems Inproceedings International Conference on Intelligent Systems Design and Applications (ISDA'11), pp. 344–349, 2011. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Garcia-Martinez2011a,
title = {Analysing the significance of no free lunch theorems on the set of real-world binary problems},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Lozano, M.},
url = {http://ieeexplore.ieee.org/document/6121679/},
year = {2011},
date = {2011-01-01},
booktitle = {International Conference on Intelligent Systems Design and Applications (ISDA'11)},
pages = {344--349},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2010
|
García-Martínez, C; Lozano, M Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics Journal Article Soft Computing, 14 (10), pp. 1117–1139, 2010, ISSN: 1432-7643. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @article{garcia2010evaluating,
title = {Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://link.springer.com/10.1007/s00500-009-0506-1},
doi = {10.1007/s00500-009-0506-1},
issn = {1432-7643},
year = {2010},
date = {2010-08-01},
journal = {Soft Computing},
volume = {14},
number = {10},
pages = {1117--1139},
publisher = {Springer-Verlag},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Lozano, M; García-Martínez, C Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report Journal Article Computers & Operations Research, 37 (3), pp. 481–497, 2010, ISSN: 03050548. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @article{Lozano2010,
title = {Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report},
author = {Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0305054809000471},
doi = {10.1016/j.cor.2009.02.010},
issn = {03050548},
year = {2010},
date = {2010-03-01},
journal = {Computers & Operations Research},
volume = {37},
number = {3},
pages = {481--497},
publisher = {Elsevier},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Molina, D; Lozano, M; García-Martínez, C; Herrera, F Memetic Algorithms for Continuous Optimisation Based on Local Search Chains Journal Article Evolutionary Computation, 18 (1), pp. 27–63, 2010, ISSN: 1063-6560. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @article{Molina2010,
title = {Memetic Algorithms for Continuous Optimisation Based on Local Search Chains},
author = {Molina, D. and Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C. and Herrera, F.},
url = {http://www.ncbi.nlm.nih.gov/pubmed/20064025 http://www.mitpressjournals.org/doi/abs/10.1162/evco.2010.18.1.18102#.Va48PVM-P3A http://www.mitpressjournals.org/doi/abs/10.1162/evco.2010.18.1.18102},
doi = {10.1162/evco.2010.18.1.18102},
issn = {1063-6560},
year = {2010},
date = {2010-03-01},
journal = {Evolutionary Computation},
volume = {18},
number = {1},
pages = {27--63},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
García-Martínez, C; Lima, C; Twycross, J; Krasnogor, N; Lozano, M P System Model Optimisation by Means of Evolutionary Based Search Algorithms Inproceedings Genetic and Evolutionary Computation Conference (GECCO'10), pp. 187–194, 2010. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Garcia-Martinez2010,
title = {P System Model Optimisation by Means of Evolutionary Based Search Algorithms},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lima, C. and Twycross, J. and Krasnogor, N. and Lozano, M.},
url = {http://dl.acm.org/citation.cfm?id=1830517},
year = {2010},
date = {2010-01-01},
booktitle = {Genetic and Evolutionary Computation Conference (GECCO'10)},
pages = {187--194},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Molina, D; García-Martínez, C; Lozano, M Web temática sobre algoritmos evolutivos y otras metaheurísticas Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10), pp. 311–317, 2010. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Molina2010a,
title = {Web tem\'{a}tica sobre algoritmos evolutivos y otras metaheur\^{i}sticas},
author = {Molina, D. and Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://sci2s.ugr.es/sites/default/files/ficherosPublicaciones/1330_malschains_maeb2010.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10)},
pages = {311--317},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rodríguez-Díaz, F J; García-Martínez, C; Lozano, M A GA-based Multiple Simulated Annealing Inproceedings IEEE Congress on Evolutionary Computation, pp. 195–201, 2010. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Rodriguez-Diaz2010,
title = {A GA-based Multiple Simulated Annealing},
author = {Rodr\^{i}guez-D\^{i}az, F. J. and Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://ieeexplore.ieee.org/document/5586472/},
year = {2010},
date = {2010-01-01},
booktitle = {IEEE Congress on Evolutionary Computation},
pages = {195--201},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rodríguez-Díaz, F J; García-Martínez, C; Lozano, M Un Modelo de Enfriamiento Simulado Basado en Algoritmos Evolutivos Especializados Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10), pp. 727–734, 2010. BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Rodriguez-Diaz2010a,
title = {Un Modelo de Enfriamiento Simulado Basado en Algoritmos Evolutivos Especializados},
author = {Rodr\^{i}guez-D\^{i}az, F. J. and Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
year = {2010},
date = {2010-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10)},
pages = {727--734},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2009
|
García-Martínez, C; Lozano, M Continuous variable neighbourhood search algorithm based on evolutionary metaheuristic components: a scalability test Inproceedings International Conference on Intelligent Systems Design and Applications (ISDA'09), pp. 1074–1079, 2009. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Scalability @inproceedings{Garcia-Martinez2009a,
title = {Continuous variable neighbourhood search algorithm based on evolutionary metaheuristic components: a scalability test},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://ieeexplore.ieee.org/document/5364190/?arnumber=5364190&tag=1},
year = {2009},
date = {2009-01-01},
booktitle = {International Conference on Intelligent Systems Design and Applications (ISDA'09)},
pages = {1074--1079},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {inproceedings}
}
|
García-Martínez, C; Lozano, M A continuous variable neighbourhood search based on specialised EAs: application to the noisy BBO-benchmark 2009 testbed Inproceedings Genetic and Evolutionary Computation Conference (GECCO'09), pp. 2367–2374, 2009. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Garcia-Martinez2009b,
title = {A continuous variable neighbourhood search based on specialised EAs: application to the noisy BBO-benchmark 2009 testbed},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://dl.acm.org/citation.cfm?id=1570330},
year = {2009},
date = {2009-01-01},
booktitle = {Genetic and Evolutionary Computation Conference (GECCO'09)},
pages = {2367--2374},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
García-Martínez, C; Lozano, M Simulated annealing based on local genetic search Inproceedings IEEE Congress on Evolutionary Computation, pp. 2569–2576, 2009. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Garcia-Martinez2009c,
title = {Simulated annealing based on local genetic search},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://ieeexplore.ieee.org/document/4983264/?arnumber=4983264},
year = {2009},
date = {2009-01-01},
booktitle = {IEEE Congress on Evolutionary Computation},
pages = {2569--2576},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
García-Martínez, C; Lozano, M Evaluación de metaheurísticas basadas en un algoritmo genético local Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), pp. 215–222, 2009. BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics @inproceedings{Garcia-Martinez2009d,
title = {Evaluaci\'{o}n de metaheur\^{i}sticas basadas en un algoritmo gen'{e}tico local},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
year = {2009},
date = {2009-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09)},
pages = {215--222},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|