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}
}
|
Ramírez, A; Barbudo, R; Romero, J R An experimental comparison of metaheuristic frameworks for multi-objective optimization Journal Article Expert Systems, pp. e12672, 2022. Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Scalability, Software @article{ramirez2022experimental,
title = {An experimental comparison of metaheuristic frameworks for multi-objective optimization},
author = {Ram\^{i}rez, A. and Barbudo, R. and Romero, J. R.},
url = {https://onlinelibrary.wiley.com/doi/10.1111/exsy.12672},
doi = {10.1111/exsy.12672},
year = {2022},
date = {2022-01-01},
journal = {Expert Systems},
pages = {e12672},
publisher = {Wiley Online Library},
keywords = {Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Scalability, Software},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
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}
}
|
2019
|
Ramírez, A; Romero, J R; García-Martínez, C; Ventura, S JCLEC-MO: A Java suite for solving many-objective optimization engineering problems Journal Article Engineering Applications of Artificial Intelligence, 81 , pp. 14-28, 2019. Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development @article{Ram\^{i}rez201914,
title = {JCLEC-MO: A Java suite for solving many-objective optimization engineering problems},
author = {Ram\^{i}rez, A. and Romero, J. R. and Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061353423&doi=10.1016%2fj.engappai.2019.02.003&partnerID=40&md5=9c80a664414333edf2bce8464459ff74},
doi = {10.1016/j.engappai.2019.02.003},
year = {2019},
date = {2019-01-01},
journal = {Engineering Applications of Artificial Intelligence},
volume = {81},
pages = {14-28},
keywords = {Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Carmona, C J; García-Vico, A M; {Del Jesus}, M J; Ventura, S Subgroup discovery on multiple instance data Journal Article International Journal of Computational Intelligence Systems, 12 (2), pp. 1602–1612, 2019, ISSN: 18756883. Links | BibTeX | Tags: Metaheuristics, Multi-instance Learning, Pattern Mining, Subgroup Discovery @article{Luna2019bb,
title = {Subgroup discovery on multiple instance data},
author = {Luna, J. M. and Carmona, C. J. and Garc\^{i}a-Vico, A. M. and {Del Jesus}, M. J. and Ventura, S.},
url = {https://www.atlantis-press.com/journals/ijcis/125927212/view},
doi = {10.2991/ijcis.d.191213.001},
issn = {18756883},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {12},
number = {2},
pages = {1602--1612},
keywords = {Metaheuristics, Multi-instance Learning, Pattern Mining, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
2018
|
Ramírez, A; Barbudo, R; Romero, J R; Ventura, S Estudio de escalabilidad de implementaciones multiobjetivo en problemas con muchos objetivos Inproceedings Conferencia de la Asociación Española para la Inteligencia Artificial - XI Congreso Español sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (CAEPIA - MAEB 2018), 2018. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development @inproceedings{Ram\^{i}rez-2018-CAEPIA,
title = {Estudio de escalabilidad de implementaciones multiobjetivo en problemas con muchos objetivos},
author = {Ram\^{i}rez, A. and Barbudo, R. and Romero, J. R. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_100.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial - XI Congreso Espa\~{n}ol sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (CAEPIA - MAEB 2018)},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S Interactive Multi-Objective Evolutionary Optimization of Software Architectures Journal Article Information Sciences, 463-464 , pp. 92-109, 2018, ISSN: 0020-0255. Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering @article{Ram\^{i}rez-2018-INFSCI,
title = {Interactive Multi-Objective Evolutionary Optimization of Software Architectures},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2018.06.034},
doi = {10.1016/j.ins.2018.06.034},
issn = {0020-0255},
year = {2018},
date = {2018-01-01},
journal = {Information Sciences},
volume = {463-464},
pages = {92-109},
keywords = {Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
Maestre-García, F J; García-Martínez, C; Pérez-Ortíz, M; Gutiérrez, P A An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning Inproceedings Proceedings of the International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence, pp. 513-524, Cadiz, Spain, 2017. BibTeX | Tags: Classification, Metaheuristics, Supervised Learning @inproceedings{FJMaestre-IWANN-2017,
title = {An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning},
author = {Maestre-Garc\^{i}a, F.J. and Garc\^{i}a-Mart\^{i}nez, C. and P'{e}rez-Ort\^{i}z, M. and Guti'{e}rrez, P.A.},
year = {2017},
date = {2017-05-18},
booktitle = {Proceedings of the International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence},
pages = {513-524},
address = {Cadiz, Spain},
series = {IWANN 2017},
keywords = {Classification, Metaheuristics, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rodriguez, F J; Glover, F; García-Martínez, C; Martí, R; Lozano, M GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem Journal Article Computers & Operations Research, 78 , pp. 243–254, 2017, ISSN: 03050548. Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics @article{Rodriguez-2017-COR,
title = {GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem},
author = {Rodriguez, F. J. and Glover, F. and Garc\^{i}a-Mart\^{i}nez, C. and Mart\^{i}, R. and Lozano, M.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0305054816302209},
doi = {10.1016/j.cor.2016.09.005},
issn = {03050548},
year = {2017},
date = {2017-02-01},
journal = {Computers & Operations Research},
volume = {78},
pages = {243--254},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Parejo, J A; Romero, J R; Segura, S; Ruiz-Cortés, A Evolutionary composition of QoS-aware web services: a many-objective perspective Journal Article Expert Systems with Applications, 72 , pp. 357-370, 2017, ISSN: 0957-4174. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering @article{Ramirez-2017-ESWA,
title = {Evolutionary composition of QoS-aware web services: a many-objective perspective},
author = {Ram\^{i}rez, A. and Parejo, J. A. and Romero, J. R. and Segura, S. and Ruiz-Cort'{e}s, A.},
url = {http://dx.doi.org/10.1016/j.eswa.2016.10.047},
doi = {10.1016/j.eswa.2016.10.047},
issn = {0957-4174},
year = {2017},
date = {2017-01-01},
journal = {Expert Systems with Applications},
volume = {72},
pages = {357-370},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Romero, J R; Ventura, S On the effect of local search in the multi-objective evolutionary discovery of software architectures Inproceedings IEEE Congress on Evolutionary Computation (CEC), pp. 2038–2045, IEEE, 2017. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering @inproceedings{2017-aramirez-cec,
title = {On the effect of local search in the multi-objective evolutionary discovery of software architectures},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://ieeexplore.ieee.org/document/7969551/},
doi = {10.1109/CEC.2017.7969551},
year = {2017},
date = {2017-01-01},
booktitle = {IEEE Congress on Evolutionary Computation (CEC)},
pages = {2038--2045},
publisher = {IEEE},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S Búsqueda coevolutiva interactiva aplicada al diseño de software Inproceedings XXII Jornadas en Ingeniería del Software y Bases de Datos (JISBD'17), 2017. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering @inproceedings{2017-aramirez-jisbd,
title = {B\'{u}squeda coevolutiva interactiva aplicada al dise\~{n}o de software},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://hdl.handle.net/11705/JISBD/2017/034},
year = {2017},
date = {2017-01-01},
booktitle = {XXII Jornadas en Ingenier\^{i}a del Software y Bases de Datos (JISBD'17)},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A; García-Martínez, C; Ventura, S Extremely High-dimensional Optimization with MapReduce: Scaling Functions and Algorithm Journal Article Information Sciences, 415-416 , pp. 110-127, 2017. Links | BibTeX | Tags: Metaheuristics, Scalability @article{2017-INS-REALOPT,
title = {Extremely High-dimensional Optimization with MapReduce: Scaling Functions and Algorithm},
author = {Cano, A. and Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2017.06.024},
doi = {10.1016/j.ins.2017.06.024},
year = {2017},
date = {2017-01-01},
journal = {Information Sciences},
volume = {415-416},
pages = {110-127},
keywords = {Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
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. |
Lozano, M; Rodriguez, F J; Peralta, D; García-Martínez, C Randomized greedy multi-start algorithm for the minimum common integer partition problem Journal Article Engineering Applications of Artificial Intelligence, 50 , pp. 226–235, 2016, ISSN: 09521976. Abstract | Links | BibTeX | Tags: Metaheuristics @article{Lozano2016,
title = {Randomized greedy multi-start algorithm for the minimum common integer partition problem},
author = {Lozano, M. and Rodriguez, F. J. and Peralta, D. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0952197616000415},
doi = {10.1016/j.engappai.2016.01.037},
issn = {09521976},
year = {2016},
date = {2016-04-01},
journal = {Engineering Applications of Artificial Intelligence},
volume = {50},
pages = {226--235},
abstract = {In this paper, we propose a randomized greedy multi-start algorithm for the minimum common integer partition problem. Given k multisets S1,{\l}dots,Sk of positive integers (Si=si1,{\l}dots,sij,{\l}dots,simi), the goal is to find the common integer partition T with minimal cardinality, i.e., a unique and reduced multiset T that, for each Si, it can be partitioned into mi multisets Tj so that the elements in Tj sum to sij. This mathematical problem is reported to appear in computational molecular biology, when assigning orthologs on a genome scale or assembling DNA fingerprints in particular. Our proposed metaheuristic approach constitutes the construction of multiple solutions by a new greedy method that embeds a diversification agent to allow diverse and promising solutions to be reached. Furthermore, we formulate an integer programming model for this problem and show that the CPLEX solver can only solve small instances of the problem. However, computational results for problem instances involving up to 1000 multisets (each one with up to 1000 elements) show that our innovative metaheuristic produces very good feasible solutions in reasonable computing times, arising as a very attractive alternative to the existing approaches.},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
In this paper, we propose a randomized greedy multi-start algorithm for the minimum common integer partition problem. Given k multisets S1,łdots,Sk of positive integers (Si=si1,łdots,sij,łdots,simi), the goal is to find the common integer partition T with minimal cardinality, i.e., a unique and reduced multiset T that, for each Si, it can be partitioned into mi multisets Tj so that the elements in Tj sum to sij. This mathematical problem is reported to appear in computational molecular biology, when assigning orthologs on a genome scale or assembling DNA fingerprints in particular. Our proposed metaheuristic approach constitutes the construction of multiple solutions by a new greedy method that embeds a diversification agent to allow diverse and promising solutions to be reached. Furthermore, we formulate an integer programming model for this problem and show that the CPLEX solver can only solve small instances of the problem. However, computational results for problem instances involving up to 1000 multisets (each one with up to 1000 elements) show that our innovative metaheuristic produces very good feasible solutions in reasonable computing times, arising as 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}
}
|
Delgado-Osuna, J A; Lozano, M; García-Martínez, C An alternative artificial bee colony algorithm with destructive–constructive neighbourhood operator for the problem of composing medical crews Journal Article Information Sciences, 326 , pp. 215–226, 2016, ISSN: 00200255. Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics @article{Delgado-Osuna2016,
title = {An alternative artificial bee colony algorithm with destructive{\textendash}constructive neighbourhood operator for the problem of composing medical crews},
author = {Delgado-Osuna, J. A. and Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0020025515005599},
doi = {10.1016/j.ins.2015.07.051},
issn = {00200255},
year = {2016},
date = {2016-01-01},
journal = {Information Sciences},
volume = {326},
pages = {215--226},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Lozano, M; García-Martínez, C; Rodríguez, F J; Trujillo, H M Optimizing Network Attacks by Artificial Bee Colony Journal Article Information Sciences, 377 , pp. 30–50, 2016, ISSN: 00200255. Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics @article{Lozano2016b,
title = {Optimizing Network Attacks by Artificial Bee Colony},
author = {Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Trujillo, H. M.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0020025516312075},
doi = {10.1016/j.ins.2016.10.014},
issn = {00200255},
year = {2016},
date = {2016-01-01},
journal = {Information Sciences},
volume = {377},
pages = {30--50},
publisher = {Elsevier Inc.},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Lozano, M; García-Martínez, C; Rodríguez, F J; Trujillo, H M Optimización de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 103–112, 2016. BibTeX | Tags: Bioinspired algorithms, Metaheuristics @inproceedings{Lozano2016c,
title = {Optimizaci\'{o}n de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales},
author = {Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Trujillo, H. M.},
year = {2016},
date = {2016-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},
pages = {103--112},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S A comparative study of many-objective evolutionary algorithms for the discovery of software architectures Journal Article Empirical Software Engineering, 21 , pp. 2546–2600, 2016, ISSN: 1573-7616. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering @article{Ramirez-2016-EMSE,
title = {A comparative study of many-objective evolutionary algorithms for the discovery of software architectures},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s10664-015-9399-z},
doi = {10.1007/s10664-015-9399-z},
issn = {1573-7616},
year = {2016},
date = {2016-01-01},
journal = {Empirical Software Engineering},
volume = {21},
pages = {2546--2600},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Barbudo, R; Romero, J R; Ventura, S Memetic Algorithms for the Automatic Discovery of Software Architectures Inproceedings 16th International Conference on Intelligent Systems Design and Applications (ISDA'16), 2016. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering @inproceedings{Ramirez-2016-ISDA,
title = {Memetic Algorithms for the Automatic Discovery of Software Architectures},
author = {Ram\^{i}rez, A. and Barbudo, R. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-319-53480-0_43},
doi = {10.1007/978-3-319-53480-0_43},
year = {2016},
date = {2016-01-01},
booktitle = {16th International Conference on Intelligent Systems Design and Applications (ISDA'16)},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Molina, J A; Romero, J R; Ventura, S Estudio de mecanismos de hibridación para el descubrimiento evolutivo de arquitecturas Inproceedings XXI Jornadas en Ingeniería del Software y Bases de Datos (JISBD'16), pp. 481-494, 2016, ISBN: 978-84-9012-627-1. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering @inproceedings{Ramirez-2016-JISBD-1,
title = {Estudio de mecanismos de hibridaci\'{o}n para el descubrimiento evolutivo de arquitecturas},
author = {Ram\^{i}rez, A. and Molina, J. A. and Romero, J. R. and Ventura, S.},
url = {http://hdl.handle.net/11705/JISBD/2016/043},
isbn = {978-84-9012-627-1},
year = {2016},
date = {2016-01-01},
booktitle = {XXI Jornadas en Ingenier\^{i}a del Software y Bases de Datos (JISBD'16)},
pages = {481-494},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Barbudo, R; Romero, J R; Ventura, S Herramienta basada en computación evolutiva interactiva para arquitectos software Inproceedings XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 387-396, 2016, ISBN: 978-84-9012-632-5. BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering, Software Design and Development @inproceedings{Ramirez-2016-MAEB,
title = {Herramienta basada en computaci\'{o}n evolutiva interactiva para arquitectos software},
author = {Ram\^{i}rez, A. and Barbudo, R. and Romero, J. R. and Ventura, S.},
isbn = {978-84-9012-632-5},
year = {2016},
date = {2016-01-01},
booktitle = {XI Congreso Espa\~{n}ol sobre Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},
pages = {387-396},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Lozano, M; García-Martínez, C; Rodríguez, F J; Trujillo, H M Optimizing Network Attacks by Artificial Bee Colony Journal Article Information Sciences, 377 , pp. 30–50, 2016, ISSN: 00200255. Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics @article{Lozano2016bb,
title = {Optimizing Network Attacks by Artificial Bee Colony},
author = {Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Trujillo, H. M.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0020025516312075},
doi = {10.1016/j.ins.2016.10.014},
issn = {00200255},
year = {2016},
date = {2016-01-01},
journal = {Information Sciences},
volume = {377},
pages = {30--50},
publisher = {Elsevier Inc.},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
2015
|
García-Martínez, C; Blum, C; Rodriguez, F J; Lozano, M The firefighter problem: Empirical results on random graphs Journal Article Computers & Operations Research, 60 , pp. 55–66, 2015, ISSN: 03050548. Abstract | Links | BibTeX | Tags: Metaheuristics @article{Garcia-Martinez2015,
title = {The firefighter problem: Empirical results on random graphs},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Blum, C. and Rodriguez, F. J. and Lozano, M.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0305054815000271},
doi = {10.1016/j.cor.2015.02.004},
issn = {03050548},
year = {2015},
date = {2015-08-01},
journal = {Computers & Operations Research},
volume = {60},
pages = {55--66},
abstract = {The firefighter problem is a deterministic discrete-time model for the spread and containment of fire on a graph. Once the fire breaks out at a set of vertices, the goal addressed in this work is to save as many vertices as possible from burning. Although the problem finds applications in various real-world problems, such as the spread of diseases or hoaxes contention in communication networks, this problem has not been addressed from a practical point of view so far, in the sense of finding a good strategy for the general case. In this work, we develop and compare several integer linear programming techniques and heuristic methods. Random graphs are used for the purpose of comparison. The obtained results shed some light on the challenges for computational tools as caused by graph topology, graph size, and the number of firefighters per iteration, when looking for the best strategy for an a priori unknown graph.},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
The firefighter problem is a deterministic discrete-time model for the spread and containment of fire on a graph. Once the fire breaks out at a set of vertices, the goal addressed in this work is to save as many vertices as possible from burning. Although the problem finds applications in various real-world problems, such as the spread of diseases or hoaxes contention in communication networks, this problem has not been addressed from a practical point of view so far, in the sense of finding a good strategy for the general case. In this work, we develop and compare several integer linear programming techniques and heuristic methods. Random graphs are used for the purpose of comparison. The obtained results shed some light on the challenges for computational tools as caused by graph topology, graph size, and the number of firefighters per iteration, when looking for the best strategy for an a priori unknown graph. |
Lozano, M; Rodriguez, F J; García-Martínez, C A two-stage constructive method for the unweighted minimum string cover problem Journal Article Knowledge-Based Systems, 77 , pp. 103–113, 2015, ISSN: 09507051. Abstract | Links | BibTeX | Tags: Metaheuristics @article{Lozano2015,
title = {A two-stage constructive method for the unweighted minimum string cover problem},
author = {Lozano, M. and Rodriguez, F. J. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0950705115000106},
doi = {10.1016/j.knosys.2015.01.003},
issn = {09507051},
year = {2015},
date = {2015-03-01},
journal = {Knowledge-Based Systems},
volume = {77},
pages = {103--113},
abstract = {In this work, we propose a novel constructive method to deal with the unweighted minimum string cover problem. Given a set of strings S, this defiant optimization problem aims to find a minimum set of substrings M from S such that every string in S can be written as a concatenation of the strings in M. This problem has challenging real-world applications, especially in the field of computational biology. The proposed constructive algorithm is composed of two stages that are executed iteratively. The objective of the first stage is to find frequent substrings in S to be included in M. The aim of the second stage is to simplify the set M to try to get a minimal set. Extensive computational experiments reveal that the proposed algorithm is highly effective for solving complex instances involving up to 100000 strings in S as compared to the current state-of-the-art method.},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
In this work, we propose a novel constructive method to deal with the unweighted minimum string cover problem. Given a set of strings S, this defiant optimization problem aims to find a minimum set of substrings M from S such that every string in S can be written as a concatenation of the strings in M. This problem has challenging real-world applications, especially in the field of computational biology. The proposed constructive algorithm is composed of two stages that are executed iteratively. The objective of the first stage is to find frequent substrings in S to be included in M. The aim of the second stage is to simplify the set M to try to get a minimal set. Extensive computational experiments reveal that the proposed algorithm is highly effective for solving complex instances involving up to 100000 strings in S as compared to the current state-of-the-art method. |
Delgado-Osuna, J A; Lozano, M; García-Martínez, C Algoritmo de colonias de abejas artificiales para la composición de equipos médicos Inproceedings Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'15), pp. 199–208, 2015. Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics @inproceedings{Delgado-Osuna2015,
title = {Algoritmo de colonias de abejas artificiales para la composici\'{o}n de equipos m'{e}dicos},
author = {Delgado-Osuna, J. A. and Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {http://simd.albacete.org/actascaepia15/papers/00199.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial (CAEPIA'15)},
pages = {199--208},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
García-Martínez, C; Blum, C; Rodríguez-Díaz, F J; Lozano, M El problema de los cortafuegos. Resultados con métodos heurísticos y con programación lineal entera Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15), pp. 43–50, 2015. BibTeX | Tags: Metaheuristics @inproceedings{Garcia-Martinez2015a,
title = {El problema de los cortafuegos. Resultados con m'{e}todos heur\^{i}sticos y con programaci\'{o}n lineal entera},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Blum, C. and Rodr\^{i}guez-D\^{i}az, F. J. and Lozano, M.},
year = {2015},
date = {2015-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15)},
pages = {43--50},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Lozano, M; Rodríguez-Díaz, F J; García-Martínez, C Una metaheurísticas multiarranque para el problema de la partición entera común mínima Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15), pp. 75–82, 2015. BibTeX | Tags: Metaheuristics @inproceedings{Lozano2015a,
title = {Una metaheur\^{i}sticas multiarranque para el problema de la partici\'{o}n entera com\'{u}n m\^{i}nima},
author = {Lozano, M. and Rodr\^{i}guez-D\^{i}az, F. J. and Garc\^{i}a-Mart\^{i}nez, C.},
year = {2015},
date = {2015-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15)},
pages = {75--82},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms Inproceedings Proceedings of the 17th Genetic and Evolutionary Computation Conference, GECCO'15 Companion, pp. 1085-1092, ACM, Madrid, Spain, 2015, ISBN: 978-1-4503-3488-4. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development @inproceedings{Ramirez-2015-GECCO,
title = {An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://doi.acm.org/10.1145/2739482.2768461},
doi = {10.1145/2739482.2768461},
isbn = {978-1-4503-3488-4},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 17th Genetic and Evolutionary Computation Conference, GECCO'15 Companion},
pages = {1085-1092},
publisher = {ACM},
address = {Madrid, Spain},
series = {GECCO Companion '15},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S An approach for the evolutionary discovery of software architectures Journal Article Information Sciences, 305 , pp. 234-255, 2015. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering @article{Ramirez-2015-INS,
title = {An approach for the evolutionary discovery of software architectures},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2015.01.017},
doi = {10.1016/j.ins.2015.01.017},
year = {2015},
date = {2015-01-01},
journal = {Information Sciences},
volume = {305},
pages = {234-255},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Romero, J R; Ventura, S Estudio preliminar del rendimiento de familias de algoritmos multiobjetivo en diseño arquitectónico Inproceedings X Congreso Espa~nol sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'15, pp. 173-180, 2015. BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering @inproceedings{Ramirez-2015-MAEB,
title = {Estudio preliminar del rendimiento de familias de algoritmos multiobjetivo en dise\~{n}o arquitect\'{o}nico},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
year = {2015},
date = {2015-01-01},
booktitle = {X Congreso Espa~nol sobre Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados, MAEB'15},
pages = {173-180},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rodríguez-Díaz, F J; Lozano, M; García-Martínez, C Un algoritmo de colonias de abejas artificiales para el problema de agrupación de máxima diversidad Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15), pp. 211–218, 2015. BibTeX | Tags: Bioinspired algorithms, Metaheuristics @inproceedings{Rodriguez-Diaz2015,
title = {Un algoritmo de colonias de abejas artificiales para el problema de agrupaci\'{o}n de m\'{a}xima diversidad},
author = {Rodr\^{i}guez-D\^{i}az, F. J. and Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C.},
year = {2015},
date = {2015-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15)},
pages = {211--218},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2014
|
García-Martínez, C; Glover, F; Rodriguez, F J; Lozano, M; Martí, R Strategic oscillation for the quadratic multiple knapsack problem Journal Article Computational Optimization and Applications, 58 (1), pp. 161–185, 2014, ISSN: 0926-6003. Links | BibTeX | Tags: Metaheuristics @article{garcia2014soqmkp,
title = {Strategic oscillation for the quadratic multiple knapsack problem},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Glover, F. and Rodriguez, F. J. and Lozano, M. and Mart\^{i}, R.},
url = {http://link.springer.com/10.1007/s10589-013-9623-y},
doi = {10.1007/s10589-013-9623-y},
issn = {0926-6003},
year = {2014},
date = {2014-11-01},
journal = {Computational Optimization and Applications},
volume = {58},
number = {1},
pages = {161--185},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Lozano, M; Glover, F; García-Martínez, C; Rodríguez, F J; Martí, R Tabu search with strategic oscillation for the quadratic minimum spanning tree Journal Article IIE Transactions, 46 (4), pp. 414–428, 2014, ISSN: 0740-817X. Links | BibTeX | Tags: Metaheuristics @article{Lozano2014,
title = {Tabu search with strategic oscillation for the quadratic minimum spanning tree},
author = {Lozano, M. and Glover, F. and Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Mart\^{i}, R.},
url = {http://www.tandfonline.com/doi/abs/10.1080/0740817X.2013.768785},
doi = {10.1080/0740817X.2013.768785},
issn = {0740-817X},
year = {2014},
date = {2014-04-01},
journal = {IIE Transactions},
volume = {46},
number = {4},
pages = {414--428},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
García-Martínez, C; Rodriguez, F J; Lozano, M Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem Journal Article European Journal of Operational Research, 232 (3), pp. 454–463, 2014, ISSN: 03772217. Links | BibTeX | Tags: Metaheuristics @article{Garcia-Martinez2014,
title = {Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Rodriguez, F. J. and Lozano, M.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0377221713006164},
doi = {10.1016/j.ejor.2013.07.035},
issn = {03772217},
year = {2014},
date = {2014-02-01},
journal = {European Journal of Operational Research},
volume = {232},
number = {3},
pages = {454--463},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Blum, C; Blesa, M J; García-Martínez, C; Rodríguez, F J; Lozano, M The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms Inproceedings European Conference on Evolutionary Computation in Combinatorial Optimization, pp. 218–229, 2014. Links | BibTeX | Tags: Ant Programming, Bioinspired algorithms, Metaheuristics @inproceedings{Blum2014,
title = {The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms},
author = {Blum, C. and Blesa, M. J. and Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Lozano, M.},
url = {http://link.springer.com/chapter/10.1007%2F978-3-662-44320-0_19},
year = {2014},
date = {2014-01-01},
booktitle = {European Conference on Evolutionary Computation in Combinatorial Optimization},
pages = {218--229},
keywords = {Ant Programming, Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Olmo, J L; Romero, J R; Ventura, S Swarm-based metaheuristics in automatic programming: A survey Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4 (6), pp. 445-469, 2014. Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics @article{Olmo-2014-WIRES,
title = {Swarm-based metaheuristics in automatic programming: A survey},
author = {Olmo, J. L. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1002/widm.1138},
doi = {10.1002/widm.1138},
year = {2014},
date = {2014-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {4},
number = {6},
pages = {445-469},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Romero, J R; Ventura, S On the Performance of Multiple Objective Evolutionary Algorithms for Software Architecture Discovery Inproceedings Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO'14, pp. 1287-1294, 2014. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering @inproceedings{Ramirez-2014-GECCO,
title = {On the Performance of Multiple Objective Evolutionary Algorithms for Software Architecture Discovery},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1145/2576768.2598310},
doi = {10.1145/2576768.2598310},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO'14},
pages = {1287-1294},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2013
|
Rodriguez, F J; Lozano, M; Blum, C; García-Martínez, C An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem Journal Article Computers & Operations Research, 40 (7), pp. 1829–1841, 2013, ISSN: 03050548. Links | BibTeX | Tags: Metaheuristics, Scalability @article{rodriguez2013igupmsp,
title = {An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem},
author = {Rodriguez, F. J. and Lozano, M. and Blum, C. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0305054813000269},
doi = {10.1016/j.cor.2013.01.018},
issn = {03050548},
year = {2013},
date = {2013-07-01},
journal = {Computers & Operations Research},
volume = {40},
number = {7},
pages = {1829--1841},
keywords = {Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
Rodriguez, F J; Lozano, M; García-Martínez, C; González-Barrera, J D An artificial bee colony algorithm for the maximally diverse grouping problem Journal Article Information Sciences, 230 (0), pp. 183–196, 2013, ISSN: 00200255. Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics @article{Rodriguez2013183,
title = {An artificial bee colony algorithm for the maximally diverse grouping problem},
author = {Rodriguez, F. J. and Lozano, M. and Garc\^{i}a-Mart\^{i}nez, C. and Gonz\'{a}lez-Barrera, J. D.},
url = {http://www.sciencedirect.com/science/article/pii/S0020025513000121},
doi = {10.1016/j.ins.2012.12.020},
issn = {00200255},
year = {2013},
date = {2013-05-01},
journal = {Information Sciences},
volume = {230},
number = {0},
pages = {183--196},
keywords = {Bioinspired algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
García-Martínez, C; Rodríguez, F J; Lozano, M Un algoritmo voraz iterativo con memoria de destrucciones tabú para el problema de las múltiples mochilas cuadráticas Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13), pp. 199–208, 2013. BibTeX | Tags: Metaheuristics @inproceedings{Garcia-Martinez2013,
title = {Un algoritmo voraz iterativo con memoria de destrucciones tab\'{u} para el problema de las m\'{u}ltiples mochilas cuadr\'{a}ticas},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Lozano, M.},
year = {2013},
date = {2013-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13)},
pages = {199--208},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S A Novel Component Identification Approach Using Evolutionary Programming Inproceedings Proceedings of the 15th Genetic and Evolutionary Computation Conference, GECCO'13 Companion, pp. 209-210, 2013. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering @inproceedings{Ramirez-2013-GECCO,
title = {A Novel Component Identification Approach Using Evolutionary Programming},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1145/2464576.2464679},
doi = {10.1145/2464576.2464679},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of the 15th Genetic and Evolutionary Computation Conference, GECCO'13 Companion},
pages = {209-210},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S Identificación de Componentes en Arquitecturas Software Mediante Programación Evolutiva Inproceedings XVIII Jornadas en Ingeniería del Software y Bases de Datos, JISBD'13, pp. 413-426, 2013, ISBN: 978-84-695-8310-4. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering @inproceedings{Ramirez-2013-JISBD,
title = {Identificaci\'{o}n de Componentes en Arquitecturas Software Mediante Programaci\'{o}n Evolutiva},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://hdl.handle.net/11705/JISBD/2013/053},
isbn = {978-84-695-8310-4},
year = {2013},
date = {2013-01-01},
booktitle = {XVIII Jornadas en Ingenier\^{i}a del Software y Bases de Datos, JISBD'13},
pages = {413-426},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S Algoritmo de programación evolutiva para identificación de arquitecturas software Inproceedings IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'13, pp. 892-901, 2013. BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering @inproceedings{Ramirez-2013-MAEB,
title = {Algoritmo de programaci\'{o}n evolutiva para identificaci\'{o}n de arquitecturas software},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
year = {2013},
date = {2013-01-01},
booktitle = {IX Congreso Espa\~{n}ol sobre Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados, MAEB'13},
pages = {892-901},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rodríguez, F J; García-Martínez, C; Blum, C; Lozano, M Un algoritmo voraz iterativo para el problema de la planificación sobre máquinas paralelas no relacionadas Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13), pp. 902–911, 2013. BibTeX | Tags: Metaheuristics @inproceedings{Rodriguez2013,
title = {Un algoritmo voraz iterativo para el problema de la planificaci\'{o}n sobre m\'{a}quinas paralelas no relacionadas},
author = {Rodr\^{i}guez, F. J. and Garc\^{i}a-Mart\^{i}nez, C. and Blum, C. and Lozano, M.},
year = {2013},
date = {2013-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13)},
pages = {902--911},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2012
|
Rodriguez, F J; Blum, C; García-Martínez, C; Lozano, M GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times Journal Article Annals of Operations Research, 201 (1), pp. 383–401, 2012, ISSN: 0254-5330. Links | BibTeX | Tags: Metaheuristics @article{Rodriguez2012,
title = {GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times},
author = {Rodriguez, F. J. and Blum, C. and Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://link.springer.com/10.1007/s10479-012-1164-8},
doi = {10.1007/s10479-012-1164-8},
issn = {0254-5330},
year = {2012},
date = {2012-12-01},
journal = {Annals of Operations Research},
volume = {201},
number = {1},
pages = {383--401},
keywords = {Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|