A Genetic Algorithm with Feminine Selection

نویسندگان

  • Josué Pereira de Castro
  • Adriana Postal
  • Guilherme Bittencourt
چکیده

This paper describes a selection approach for evolutionary algorithms – called feminine selection – that is inspired in the fact that in some animal species the female actively select their reproduction partners. In these species, the males exhibit their attributes, sometimes fighting with other males, and the female choose the one she considers the best. To implement this approach, the algorithm adopts a sexual reproduction mechanism, that among other properties precludes the reproduction between two identical genomes, avoiding premature convergence. The proposed algorithm was implemented and its results compared with those of the standard Goldberg algorithm.

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تاریخ انتشار 2004