Paper Title:
An Effective Chaotic Cultural-Based Particle Swarm Optimization for Constrained Engineering Design Problems
  Abstract

In this paper, a novel chaotic cultural-based particle swarm optimization algorithm (CCPSO) is proposed for constrained optimization problems by employing cultural-based particle swarm optimization (CPSO) algorithm and the notion of chaotic local search strategy. In the CCPSO, the shortcoming of cultural-based particle swarm optimization (CPSO) that it is easy to trap into local minimum be overcome, the chaotic local search strategy is introduced in the influence functions of cultural algorithm. Simulation results based on well-known constrained engineering design problems demonstrate the effectiveness, efficiency and robustness on initial populations of the proposed method.

  Info
Periodical
Edited by
Qi Luo
Pages
64-69
DOI
10.4028/www.scientific.net/AMM.20-23.64
Citation
Y. Q. Zhou, L. Liu, "An Effective Chaotic Cultural-Based Particle Swarm Optimization for Constrained Engineering Design Problems", Applied Mechanics and Materials, Vols. 20-23, pp. 64-69, 2010
Online since
January 2010
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