2022
|
Moyano, J M; Ventura, S Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers Journal Article Information Fusion, 78 , pp. 1-19, 2022, ISSN: 1566-2535. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning @article{Moyano:2022a_INFFUS,
title = {Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers},
author = {Moyano, J. M. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S1566253521001469},
doi = {10.1016/j.inffus.2021.07.005},
issn = {1566-2535},
year = {2022},
date = {2022-01-01},
journal = {Information Fusion},
volume = {78},
pages = {1-19},
keywords = {Classification, Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
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}
}
|
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}
}
|
Delgado-Pérez, P; Ramírez, A; Valle-Gómez, K J; Medina-Bulo, I; Romero, J R Improving Search-based Test Case Generation by means of Interactive Evolutionary Computation Inproceedings International Summer School on Search- and Machine Learning-based Software Engineering, pp. 39-40, 2022. Links | BibTeX | Tags: Evolutionary Algorithms, Search-based Software Engineering @inproceedings{ramirez2022smileseng2,
title = {Improving Search-based Test Case Generation by means of Interactive Evolutionary Computation},
author = {Delgado-P'{e}rez, P. and Ram\^{i}rez, A. and Valle-G\'{o}mez, K. J. and Medina-Bulo, I. and Romero, J. R.},
url = {https://www.uco.es/ucopress/images/librosgratuitos/978-84-9927-704-2/ebook.html},
year = {2022},
date = {2022-01-01},
booktitle = {International Summer School on Search- and Machine Learning-based Software Engineering},
pages = {39-40},
keywords = {Evolutionary Algorithms, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Barbudo, R; Ventura, S; Romero, J R Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence Inproceedings Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021), pp. 647–656, Springer 2022. BibTeX | Tags: Evolutionary Algorithms @inproceedings{barbudo2022grammar,
title = {Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence},
author = {Barbudo, R. and Ventura, S. and Romero, J. R.},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)},
pages = {647--656},
organization = {Springer},
keywords = {Evolutionary Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delgado-Osuna, J A; Garcia-Martinez, C; Ventura, S Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package Inproceedings 2022 IEEE Congress on Evolutionary Computation (CEC), pp. 1–9, IEEE 2022. BibTeX | Tags: Clinical Data Mining, Evolutionary Algorithms @inproceedings{delgado2022smart,
title = {Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package},
author = {Delgado-Osuna, J. A. and Garcia-Martinez, C. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--9},
organization = {IEEE},
keywords = {Clinical Data Mining, Evolutionary Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Barrón, M A; Luna, J M; Ventura, S Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology Inproceedings 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pp. 1–6, IEEE 2022. BibTeX | Tags: Evolutionary Algorithms, Pattern Mining @inproceedings{barron2022dynamic,
title = {Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology},
author = {Barr\'{o}n, M. A. and Luna, J. M. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)},
pages = {1--6},
organization = {IEEE},
keywords = {Evolutionary Algorithms, Pattern Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delgado-Pérez, P; Ramírez, A; Valle-Gómez, K J; Medina-Bulo, I; Romero, J R InterEvo-TR: Interactive Evolutionary Test Generation with Readability Assessment Journal Article IEEE Transactions on Software Engineering, 2022. BibTeX | Tags: Evolutionary Algorithms, Software Design and Development @article{delgado2022interevo,
title = {InterEvo-TR: Interactive Evolutionary Test Generation with Readability Assessment},
author = {Delgado-P'{e}rez, P. and Ram\^{i}rez, A. and Valle-G\'{o}mez, K. J. and Medina-Bulo, I. and Romero, J. R.},
year = {2022},
date = {2022-01-01},
journal = {IEEE Transactions on Software Engineering},
publisher = {IEEE},
keywords = {Evolutionary Algorithms, Software Design and Development},
pubstate = {published},
tppubtype = {article}
}
|
2021
|
Moyano, J M; Reyes, O; Fardoun, H M; Ventura, S Performing multi-target regression via gene expression programming-based ensemble models Journal Article Neurocomputing, 432 , pp. 275-287, 2021, ISSN: 1872-8286. Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-target Regression, Supervised Learning @article{Moyano:2021a_Neurocomputing,
title = {Performing multi-target regression via gene expression programming-based ensemble models},
author = {Moyano, J. M. and Reyes, O. and Fardoun, H. M. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/abs/pii/S0925231220319603},
doi = {10.1016/j.neucom.2020.12.060},
issn = {1872-8286},
year = {2021},
date = {2021-01-01},
journal = {Neurocomputing},
volume = {432},
pages = {275-287},
keywords = {Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-target Regression, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Barbudo, R; Ventura, S; Romero, J R Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence Inproceedings International Conference on Soft Computing and Pattern Recognition, pp. 647–656, Springer 2021. Links | BibTeX | Tags: Classification, Data Science, Evolutionary Algorithms, Grammar-Based Genetic Programming, Scientific workflows @inproceedings{barbudo2021grammar,
title = {Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence},
author = {Barbudo, R. and Ventura, S. and Romero, J. R.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-96302-6_61},
year = {2021},
date = {2021-01-01},
booktitle = {International Conference on Soft Computing and Pattern Recognition},
pages = {647--656},
organization = {Springer},
keywords = {Classification, Data Science, Evolutionary Algorithms, Grammar-Based Genetic Programming, Scientific workflows},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Barbudo, R; Ramírez, A; Servant, F; Romero, J R GEML: A grammar-based evolutionary machine learning approach for design-pattern detection Journal Article Journal of Systems and Software, 175 , pp. 110919, 2021. Links | BibTeX | Tags: Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Search-based Software Engineering @article{barbudo2021geml,
title = {GEML: A grammar-based evolutionary machine learning approach for design-pattern detection},
author = {Barbudo, R. and Ram\^{i}rez, A. and Servant, F. and Romero, J. R.},
url = {http://doi.org/10.1016/j.jss.2021.110919},
doi = {10.1016/j.jss.2021.110919},
year = {2021},
date = {2021-01-01},
journal = {Journal of Systems and Software},
volume = {175},
pages = {110919},
publisher = {Elsevier url=https://www.sciencedirect.com/science/article/pii/S0164121221000169},
keywords = {Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Delgado-Pérez, P; Valle-Gómez, K J; Medina-Bulo, I; Romero, J R Interactivity in the Generation of Test Cases with Evolutionary Computation Inproceedings 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 2395–2402, IEEE 2021. Links | BibTeX | Tags: Evolutionary Algorithms, Search-based Software Engineering @inproceedings{ramirez2021interactivity,
title = {Interactivity in the Generation of Test Cases with Evolutionary Computation},
author = {Ram\^{i}rez, A. and Delgado-P'{e}rez, P. and Valle-G\'{o}mez, K. J. and Medina-Bulo, I. and Romero, J. R.},
url = {https://ieeexplore.ieee.org/document/9504786},
doi = {10.1109/CEC45853.2021.9504786},
year = {2021},
date = {2021-01-01},
booktitle = {2021 IEEE Congress on Evolutionary Computation (CEC)},
pages = {2395--2402},
organization = {IEEE},
keywords = {Evolutionary Algorithms, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Romero, J R; Barbudo, R; Ramírez, A; Servant, F Detección de patrones de diseño con GEML: discusión y enfoque práctico Inproceedings XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD), 2021. Links | BibTeX | Tags: Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Search-based Software Engineering @inproceedings{romero2021jisbd,
title = {Detecci\'{o}n de patrones de dise\~{n}o con GEML: discusi\'{o}n y enfoque pr\'{a}ctico},
author = {Romero, J. R. and Barbudo, R. and Ram\^{i}rez, A. and Servant, F.},
url = {https://hdl.handle.net/11705/JISBD/2021/058},
year = {2021},
date = {2021-01-01},
booktitle = {XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD)},
keywords = {Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delgado-Pérez, P; Ramírez, A; Valle-Gómez, K J; Medina-Bulo, I; Romero, J R Mejora de la legibilidad en la generación de casos de prueba mediante búsqueda interactiva Inproceedings XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD), 2021. Links | BibTeX | Tags: Evolutionary Algorithms, Search-based Software Engineering @inproceedings{ramirez2021jisbd,
title = {Mejora de la legibilidad en la generaci\'{o}n de casos de prueba mediante b\'{u}squeda interactiva},
author = {Delgado-P'{e}rez, P. and Ram\^{i}rez, A. and Valle-G\'{o}mez, K. J. and Medina-Bulo, I. and Romero, J. R.},
url = {https://hdl.handle.net/11705/JISBD/2021/022},
year = {2021},
date = {2021-01-01},
booktitle = {XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD)},
keywords = {Evolutionary Algorithms, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2020
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms Journal Article Knowledge-Based Systems, 196 , pp. 105770, 2020, ISSN: 0950-7051. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @article{Moyano:2020a_KBS,
title = {Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0950705120301726},
doi = {10.1016/j.knosys.2020.105770},
issn = {0950-7051},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {196},
pages = {105770},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming Inproceedings 2020 IEEE Congress on Evolutionary Computation, CEC 2020, pp. 1-8, 2020. Links | BibTeX | Tags: Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning @inproceedings{Moyano:2020c_CEC,
title = {Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9185661},
doi = {10.1109/CEC48606.2020.9185661},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE Congress on Evolutionary Computation, CEC 2020},
pages = {1-8},
keywords = {Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms Inproceedings 24th European Conference on Artificial Intelligence, ECAI 2020, pp. 497, 2020. Links | BibTeX | Tags: Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{Moyano:2020b_ECAI,
title = {Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://ecai2020.eu/papers/497_paper.pdf},
doi = {10.3233/FAIA200242},
year = {2020},
date = {2020-01-01},
booktitle = {24th European Conference on Artificial Intelligence, ECAI 2020},
pages = {497},
keywords = {Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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}
}
|
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}
}
|
2019
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S An evolutionary approach to build ensembles of multi-label classifiers Journal Article Information Fusion, 50 , pp. 168-180, 2019, ISSN: 1566-2535. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @article{Moyanoa2018b_INFFUS,
title = {An evolutionary approach to build ensembles of multi-label classifiers},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S1566253518302574},
doi = {10.1016/j.inffus.2018.11.013},
issn = {1566-2535},
year = {2019},
date = {2019-01-01},
journal = {Information Fusion},
volume = {50},
pages = {168-180},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Padillo, F; Luna, J M; Ventura, S A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data Journal Article Cognitive Computation, 11 , pp. 331-346, 2019. Links | BibTeX | Tags: Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark @article{Padillo2019331,
title = {A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060144183&doi=10.1007%2fs12559-018-9617-2&partnerID=40&md5=c8e2a8aa35eb60951983f3b45e2c0391},
doi = {10.1007/s12559-018-9617-2},
year = {2019},
date = {2019-01-01},
journal = {Cognitive Computation},
volume = {11},
pages = {331-346},
keywords = {Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark},
pubstate = {published},
tppubtype = {article}
}
|
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; Padillo, F; Ventura, S Associative classification in big data through a G3P approach Inproceedings IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, pp. 94-102, 2019. Links | BibTeX | Tags: Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark @inproceedings{Luna201994,
title = {Associative classification in big data through a G3P approach},
author = {Luna, J. M. and Padillo, F. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067468328&partnerID=40&md5=f405c88f8efd5438e37f26b8482455e8},
year = {2019},
date = {2019-01-01},
booktitle = {IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security},
pages = {94-102},
keywords = {Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S A survey of many-objective optimisation in search-based software engineering Journal Article Journal of Systems and Software, 149 , pp. 382-395, 2019. Links | BibTeX | Tags: Evolutionary Algorithms, Multi-objective Optimization, Search-based Software Engineering @article{Ram\^{i}rez2019382,
title = {A survey of many-objective optimisation in search-based software engineering},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0164121218302759},
doi = {10.1016/j.jss.2018.12.015},
year = {2019},
date = {2019-01-01},
journal = {Journal of Systems and Software},
volume = {149},
pages = {382-395},
keywords = {Evolutionary Algorithms, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
2018
|
Barbudo, R; Romero, J R; Ventura, S Aprendizaje automático con programación genética gramatical para la detección de patrones de diseño Inproceedings Conferencia de la Asociaci'on Espa~nola para la Inteligencia Artificial - XI Congreso Espa~nol sobre Metaheur'isticas, Algoritmos Evolutivos y Bioinspirados (CAEPIA 2018), 2018. Links | BibTeX | Tags: Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design and Development @inproceedings{Barbudo-2018-CAEPIA,
title = {Aprendizaje autom\'{a}tico con programaci\'{o}n gen'{e}tica gramatical para la detecci\'{o}n de patrones de dise\~{n}o},
author = {Barbudo, R. and Romero, J. R. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_114.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Conferencia de la Asociaci'on Espa~nola para la Inteligencia Artificial - XI Congreso Espa~nol sobre Metaheur'isticas, Algoritmos Evolutivos y Bioinspirados (CAEPIA 2018)},
keywords = {Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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}
}
|
Reyes, O; Moyano, J M; Luna, J M; Ventura, S Resolviendo el problema de regresión multi-salida mediante Gene Expression Programming Inproceedings XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 907–912, 2018. Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning @inproceedings{Reyes2018c_CAEPIA,
title = {Resolviendo el problema de regresi\'{o}n multi-salida mediante Gene Expression Programming},
author = {Reyes, O. and Moyano, J. M. and Luna, J. M. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_103.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XVIII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA 2018},
pages = {907--912},
keywords = {Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Moyano, J M; Luna, J M; Ventura, S A gene expression programming method for multi-target regression Inproceedings Proceedings of the International Conference on Learning and Optimization
Algorithms: Theory and Applications, LOPAL 2018, Rabat, Morocco,
May 2-5, 2018., pp. 2:1–2:6, 2018. Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning @inproceedings{Reyes2018a_LOPAL,
title = {A gene expression programming method for multi-target regression},
author = {Reyes, O. and Moyano, J. M. and Luna, J. M. and Ventura, S.},
url = {http://doi.acm.org/10.1145/3230905.3230910},
doi = {10.1145/3230905.3230910},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the International Conference on Learning and Optimization
Algorithms: Theory and Applications, LOPAL 2018, Rabat, Morocco,
May 2-5, 2018.},
pages = {2:1--2:6},
keywords = {Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luna, J M; Ondra, M; Fardoun, H M; Ventura, S Optimization of quality measures in association rule mining: an empirical study Journal Article International Journal of Computational Intelligence Systems, 12 (1), pp. 59–78, 2018. Links | BibTeX | Tags: Association Rule Mining, Evolutionary Algorithms, Pattern Mining, Unsupervised Learning @article{DBLP:journals/ijcisys/LunaOFV18,
title = {Optimization of quality measures in association rule mining: an empirical study},
author = {Luna, J. M. and Ondra, M. and Fardoun, H. M. and Ventura, S.},
url = {https://www.atlantis-press.com/journals/ijcis/25905182},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {12},
number = {1},
pages = {59--78},
keywords = {Association Rule Mining, Evolutionary Algorithms, Pattern Mining, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Ventura, S Evolutionary Strategy to perform Batch-Mode Active Learning on Multi-Label Data Journal Article ACM Transactions on Intelligent Systems and Technology, 9 (4), pp. 46–1, 2018. Links | BibTeX | Tags: Active Learning, Evolutionary Algorithms, Multi-label Learning @article{Reyes2018a,
title = {Evolutionary Strategy to perform Batch-Mode Active Learning on Multi-Label Data},
author = {Reyes, O. and Ventura, S.},
url = {https://dl.acm.org/citation.cfm?doid=3183892.3161606},
year = {2018},
date = {2018-01-01},
journal = {ACM Transactions on Intelligent Systems and Technology},
volume = {9},
number = {4},
pages = {46--1},
keywords = {Active Learning, Evolutionary Algorithms, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Reyes, O; del Jesus, M J; Ventura, S Reglas de Asociacion en Datos Multi-Instancia mediante Programacion Genética Gramatical Inproceedings IX Simposio Teoría y Aplicaciones de Minería de Datos, CAEPIA-2018, Granada, España, pp. 815–820, 2018. BibTeX | Tags: Evolutionary Algorithms, Genetic Programming, Multi-instance Learning, Pattern Mining @inproceedings{Reyes2018k,
title = {Reglas de Asociacion en Datos Multi-Instancia mediante Programacion Gen'{e}tica Gramatical},
author = {Luna, J. M. and Reyes, O. and del Jesus, M. J. and Ventura, S.},
year = {2018},
date = {2018-01-01},
booktitle = {IX Simposio Teor\^{i}a y Aplicaciones de Miner\^{i}a de Datos, CAEPIA-2018, Granada, Espa\~{n}a},
pages = {815--820},
keywords = {Evolutionary Algorithms, Genetic Programming, Multi-instance Learning, Pattern Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luque, M; Arauzo-Azofra, A; Gata-Moreno, L; García-Hernández, L; Salas-Morera, L Algoritmos Coevolutivos para el Diseño de Distribucción en Planta Inproceedings 22nd International Congress on Project Management and Engineering, pp. 1075–1086, 2018. Links | BibTeX | Tags: Evolutionary Algorithms @inproceedings{luque2018algoritmos,
title = {Algoritmos Coevolutivos para el Dise\~{n}o de Distribucci\'{o}n en Planta},
author = {Luque, M. and Arauzo-Azofra, A. and Gata-Moreno, L. and Garc\^{i}a-Hern\'{a}ndez, L. and Salas-Morera, L.},
url = {http://dspace.aeipro.com/xmlui/bitstream/handle/123456789/1626/AT03-045_2018.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {22nd International Congress on Project Management and Engineering},
volume = {2},
pages = {1075--1086},
keywords = {Evolutionary Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
|
Moyano, J M; Gibaja, E; Ventura, S An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains Inproceedings 2017 IEEE Congress on Evolutionary Computation (CEC), pp. 2015-2021, 2017. Links | BibTeX | Tags: Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{7969548,
title = {An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains},
author = {Moyano, J. M. and Gibaja, E. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/7969548/},
doi = {10.1109/CEC.2017.7969548},
year = {2017},
date = {2017-06-01},
booktitle = {2017 IEEE Congress on Evolutionary Computation (CEC)},
pages = {2015-2021},
keywords = {Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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}
}
|
Bardudo, R; Ramírez, A; Romero, J R; Ventura, S Descubrimiento de patrones de diseño basado en buenas prácticas: modelo y discusión Inproceedings XXII Jornadas en Ingeniería del Software y Bases de Datos (JISBD'17), 2017. Links | BibTeX | Tags: Evolutionary Algorithms, Grammar-Based Genetic Programming, Pattern Mining, Search-based Software Engineering @inproceedings{2017-rbarbudo-jisbd,
title = {Descubrimiento de patrones de dise\~{n}o basado en buenas pr\'{a}cticas: modelo y discusi\'{o}n},
author = {Bardudo, R. and Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://hdl.handle.net/11705/JISBD/2017/035},
year = {2017},
date = {2017-01-01},
booktitle = {XXII Jornadas en Ingenier\^{i}a del Software y Bases de Datos (JISBD'17)},
keywords = {Evolutionary Algorithms, Grammar-Based Genetic Programming, Pattern Mining, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Padillo, F; Luna, J M; Ventura, S An evolutionary algorithm for mining rare association rules: A Big Data approach Inproceedings 2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebastián, Spain, June 5-8, 2017, pp. 2007–2014, 2017. Links | BibTeX | Tags: Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark, Unsupervised Learning @inproceedings{PadilloLV17,
title = {An evolutionary algorithm for mining rare association rules: A Big Data approach},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {https://doi.org/10.1109/CEC.2017.7969547},
doi = {10.1109/CEC.2017.7969547},
year = {2017},
date = {2017-01-01},
booktitle = {2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebasti\'{a}n, Spain, June 5-8, 2017},
pages = {2007--2014},
keywords = {Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luna, J M; Pechenizkiy, M; del Jesus, M J; Ventura, S Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming Journal Article IEEE Transactions on Cybernetics, 99 (PP), pp. 1-15, 2017. Links | BibTeX | Tags: Association Rule Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Pattern Mining, Unsupervised Learning @article{LunaIEEE17,
title = {Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming},
author = {Luna, J. M. and Pechenizkiy, M. and del Jesus, M. J. and Ventura, S.},
doi = {10.1109/TCYB.2017.2750919},
year = {2017},
date = {2017-01-01},
journal = {IEEE Transactions on Cybernetics},
volume = {99},
number = {PP},
pages = {1-15},
keywords = {Association Rule Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Pattern Mining, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Barbudo, R; Ramírez, A; Romero, J R; Ventura, S Descubrimiento de patrones de diseño basado en buenas prácticas: modelo y discusión Inproceedings Actas de XXII Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD'17), 2017. Links | BibTeX | Tags: Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design and Development @inproceedings{Barbudo-2017-JISBD,
title = {Descubrimiento de patrones de dise\~{n}o basado en buenas pr\'{a}cticas: modelo y discusi\'{o}n},
author = {Barbudo, R. and Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {https://biblioteca.sistedes.es/submissions/uploaded-files/JISBD_2017_paper_68.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Actas de XXII Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD'17)},
keywords = {Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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}
}
|
Luna, J M; Padillo, F; Ventura, S Minería de reglas de asociación excepcionales extraídas con algoritmos evolutivos Inproceedings XI Congreso Espa~nol sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 127-136, 2016, ISBN: 978-84-9012-632-5. BibTeX | Tags: Association Rule Mining, Evolutionary Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Pattern Mining, Unsupervised Learning @inproceedings{Luna:MAEB16:16,
title = {Miner\^{i}a de reglas de asociaci\'{o}n excepcionales extra\^{i}das con algoritmos evolutivos},
author = {Luna, J. M. and Padillo, F. and Ventura, S.},
isbn = {978-84-9012-632-5},
year = {2016},
date = {2016-01-01},
booktitle = {XI Congreso Espa~nol sobre Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},
pages = {127-136},
keywords = {Association Rule Mining, Evolutionary Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Pattern Mining, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luna, J M; Pechenizkiy, M; Ventura, S Mining exceptional relationships with grammar-guided genetic programming Journal Article Knowledge and Information Systems, 47 (3), pp. 571–594, 2016. Links | BibTeX | Tags: Association Rule Mining, Evolutionary Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Pattern Mining, Unsupervised Learning @article{LunaPV16,
title = {Mining exceptional relationships with grammar-guided genetic programming},
author = {Luna, J. M. and Pechenizkiy, M. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s10115-015-0859-y},
doi = {10.1007/s10115-015-0859-y},
year = {2016},
date = {2016-01-01},
journal = {Knowledge and Information Systems},
volume = {47},
number = {3},
pages = {571--594},
keywords = {Association Rule Mining, Evolutionary Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Pattern Mining, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Padillo, F; Luna, J M; Ventura, S; Herrera, F Algoritmo de programación genética gramatical para la extracción de reglas de asociación en Big Data usando el paradigma MapReduce Inproceedings XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 137-148, 2016, ISBN: 978-84-9012-632-5. BibTeX | Tags: Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark, Unsupervised Learning @inproceedings{Padillo:MAEB16:16,
title = {Algoritmo de programaci\'{o}n gen'{e}tica gramatical para la extracci\'{o}n de reglas de asociaci\'{o}n en Big Data usando el paradigma MapReduce},
author = {Padillo, F. and Luna, J. M. and Ventura, S. and Herrera, F.},
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 = {137-148},
keywords = {Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark, Unsupervised Learning},
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}
}
|