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

Author
Keywords
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.
Year of Publication
2012
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
1
Issue
Special Issue on Distributed Computing and Artificial Intelligence
Number
5
Number of Pages
6-13
Date Published
06/2012
ISSN Number
1989-1660
Citation Key
URL
http://www.ijimai.org/journal/sites/default/files/IJIMAI20121_5_1.pdf
DOI
10.9781/ijimai.2012.151
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