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<https://opendata.unex.es/recurso/ciencia-tecnologia/investigacion/publicaciones/Publicacion/2019-3748> vivo:identifier "2019-3748";
    dcterms:publisher "Mathematical and Computational Applications";
    dcterms:title "Pool-Based Genetic Programming Using Evospace, Local Search and Bloat Control";
    bibo:issn "2297-8747";
    ou:urlOrcid <https://www.mdpi.com/2297-8747/24/3/78>;
    vcard:url <https://www.mdpi.com/2297-8747/24/3/78>;
    bibo:doi "10.3390/mca24030078";
    ou:tipoPublicacion "Article";
    a ou:Publicacion;
    fabio:hasPublicationYear "2019";
    ou:bibtex "@Article{mca24030078,AUTHOR={Juárez-Smith, Perla and Trujillo, Leonardo and García-Valdez, Mario and Fernández de Vega, Francisco and Chávez, Francisco},TITLE={Pool-Based Genetic Programming Using Evospace, Local Search and Bloat Control},JOURNAL={Mathematical and Computational Applications},VOLUME={24},YEAR={2019},NUMBER={3},ARTICLE-NUMBER={78},URL={https://www.mdpi.com/2297-8747/24/3/78},ISSN={2297-8747},ABSTRACT={This work presents a unique genetic programming (GP) approach that integrates a numerical local search method and a bloat-control mechanism within a distributed model for evolutionary algorithms known as EvoSpace. The first two elements provide a directed search operator and a way to control the growth of evolved models, while the latter is meant to exploit distributed and cloud-based computing architectures. EvoSpace is a Pool-based Evolutionary Algorithm, and this work is the first time that such a computing model has been used to perform a GP-based search. The proposal was extensively evaluated using real-world problems from diverse domains, and the behavior of the search was analyzed from several different perspectives. The results show that the proposed approach compares favorably with a standard approach, identifying promising aspects and limitations of this initial hybrid system.},DOI={10.3390/mca24030078}}";
    dcterms:contributor "Juárez-Smith, Perla, Trujillo, Leonardo, García-Valdez, Mario, Fernández de Vega, Francisco, Chávez, Francisco".
<https://opendata.unex.es/recurso/educacion/universidad/personal/0058daf359847a4fd9183f73d7c090cf-francisco-chavez-de-la-o> ou:tienePublicacion <https://opendata.unex.es/recurso/ciencia-tecnologia/investigacion/publicaciones/Publicacion/2019-3748>.