Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey

TitleApproach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey
Publication TypeJournal Article
Year of Publication2012
AuthorsSeoane, P., M. Gestal, and J. Dorado
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on Distributed Computing and Artificial Intelligence
Volume1
Number5
Date Published06/2012
Pagination6-13
Abstract

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.

KeywordsGenetic Algorithms, Multimodal, Predator-Prey Approach, Species Evaluation
DOI10.9781/ijimai.2012.151
URLhttp://www.ijimai.org/journal/sites/default/files/IJIMAI20121_5_1.pdf
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