Paper Title:
Genetic Algorithm Based on Chaos Optimization
  Abstract

A hybrid genetic algorithm is proposed based on chaos optimization. The optimization process can be divided into two stages every iteration, one is genetic coarse searching and the other is chaos elaborate searching. Genetic algorithm searches the global solutions in the origin space. An elaborate space near the center of superior individuals is divided from the origin space, which is searched by chaos optimization adequately to generate new better superior individuals for genetic operation. The elaborate space can be compressed quickly to accelerate searching rate and enhance the searching efficiency. In this way, the algorithm has global searching ability and fast convergence rate. The simulation results prove that the algorithm can give satisfied results to function optimization problems.

  Info
Periodical
Key Engineering Materials (Volumes 439-440)
Edited by
Yanwen Wu
Pages
641-645
DOI
10.4028/www.scientific.net/KEM.439-440.641
Citation
C. B. Xiu, L. F. Lu, Y. Cheng , "Genetic Algorithm Based on Chaos Optimization", Key Engineering Materials, Vols. 439-440, pp. 641-645, 2010
Online since
June 2010
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$32.00
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