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Information Technology Journal
  Year: 2011 | Volume: 10 | Issue: 10 | Page No.: 1908-1916
DOI: 10.3923/itj.2011.1908.1916
Multi-objective Optimization using Chaos Based PSO
Bingqun Ren and Weizhou Zhong

Abstract:
As a novel optimization method, chaos has gained lots of attentions and applications in the past few years. Chaos movement can go through all states unrepeated according to the rule of itself in some area. It was introduced into the optimization strategy to accelerate the optimum seeking operation in this study. A chaos based particle swarm optimization strategy was developed to solve multi-objective optimization problems. The proposed approach is validated using several benchmark test functions and metrics on evolutionary multi-objective optimization. Results demonstrate the effectiveness and efficiency of the proposed strategy and that can be considered a viable alternative to solve multi-objective optimization problems.
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How to cite this article:

Bingqun Ren and Weizhou Zhong, 2011. Multi-objective Optimization using Chaos Based PSO. Information Technology Journal, 10: 1908-1916.

DOI: 10.3923/itj.2011.1908.1916

URL: https://scialert.net/abstract/?doi=itj.2011.1908.1916

 
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