Subscribe Now Subscribe Today
Science Alert
 
FOLLOW US:     Facebook     Twitter
Blue
   
Curve Top
Trends in Applied Sciences Research
  Year: 2012 | Volume: 7 | Issue: 9 | Page No.: 785-791
DOI: 10.3923/tasr.2012.785.791
A Comparative Analysis of Various Chaotic Genetic Algorithms for Multimodal Function Optimization
S.K. Tiong, David F.W. Yap and S.P. Koh

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.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem
How to cite this article:

S.K. Tiong, David F.W. Yap and S.P. Koh, 2012. A Comparative Analysis of Various Chaotic Genetic Algorithms for Multimodal Function Optimization. Trends in Applied Sciences Research, 7: 785-791.

DOI: 10.3923/tasr.2012.785.791

URL: https://scialert.net/abstract/?doi=tasr.2012.785.791

 
COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

       

       

Curve Bottom