A Comparative Analysis of Various Chaotic Genetic Algorithms for Multimodal Function Optimization

Yap, David F. W. (2012) A Comparative Analysis of Various Chaotic Genetic Algorithms for Multimodal Function Optimization. Trends in Applied Sciences Research, 7 (9). pp. 785-791. ISSN 1819-3579

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Abstract

This study proposes a novel method of introducing chaotic induced genes into Genetic Algorithms (GA) in order to solve unimodal and multimodal mathematical test functions. The integration of chaotic elements based on logistic map into GA has significantly improved the accuracy in the aspect of the best fitness value. Simulation results show that the influence of Chaos theory does improve the optimization accuracy of the mathematical functions used.

Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Electronics and Computer Engineering > Department of Telecommunication Engineering
Depositing User: Dr David Yap
Date Deposited: 20 Aug 2013 03:31
Last Modified: 28 May 2015 04:00
URI: http://eprints.utem.edu.my/id/eprint/8941
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