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文章基本信息

  • 标题:Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey
  • 作者:Pablo Seoane ; Marcos Gestal ; Julián Dorado
  • 期刊名称:International Journal of Interactive Multimedia and Artificial Intelligence
  • 印刷版ISSN:1989-1660
  • 出版年度:2012
  • 卷号:1
  • 页码:6-13
  • 出版社:ImaI-Software
  • 摘要: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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