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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2012
    • vol. 1, nº 5, june 2012
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2012
    • vol. 1, nº 5, june 2012
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    Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey

    Autor: 
    Seoane, Pablo
    Gestal, Marcos
    Dorado, Julián
    Fecha: 
    06/2012
    Palabra clave: 
    genetic algorithms; multimodal problems; species evaluation; predator-prey approach; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/9598
    DOI: 
    http://dx.doi.org/10.9781/ijimai.2012.151
    Dirección web: 
    https://www.ijimai.org/journal/node/221
    Open Access
    Resumen:
    Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach is insufficient. To this end, the idea of dividing the individuals into species has been successfully raised. However, this solution is not free of drawbacks, such as the emergence of redundant species, overlapping or performance degradation by significantly increasing the number of individuals to be evaluated. This paper presents the implementation of a method based on the predator-prey technique, with the aim of providing a solution to the problem, as well as a number of examples to prove its effectiveness.
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