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

International Journal of Interactive Multimedia and Artificial Intelligence. 2012;1(5):6-13

 

Journal Homepage

Journal Title: International Journal of Interactive Multimedia and Artificial Intelligence

ISSN: 1989-1660 (Print)

Publisher: Universidad Internacional de La Rioja (UNIR)

Society/Institution: Universidad Internacional de La Rioja (UNIR)

LCC Subject Category: Technology

Country of publisher: Spain

Language of fulltext: English

Full-text formats available: PDF, HTML, XML

 

AUTHORS

Pablo Seoane
Marcos Gestal
Julián Dorado

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 10 weeks

 

Abstract | Full Text

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.