01385nas a2200229   4500000000100000000000100001008004100002260001200043653002300055653002300078653002700101653001500128100001700143700001800160700001900178245012500197856007400322300000900396490000600405520073000411022001401141       2012                            d  c06/201210aGenetic Algorithms10aSpecies Evaluation10aPredator-Prey Approach10aMultimodal1 aPablo Seoane1 aMarcos Gestal1 aJulián Dorado00aApproach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey  uhttp://www.ijimai.org/journal/sites/default/files/IJIMAI20121_5_1.pdf  a6-130 v13 aOver 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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