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.

• Periodical: Applied Mechanics and Materials (Volumes 20-23)
• Pages: 64-69
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.20-23.64
• Online since: January 2010
• Authors: Yong Quan Zhou, Lingzi Liu
• Keywords: Chaotic Local Search Strategy, Constrained Optimization, Cultural-Based Particle Swarm Optimization, Engineering Design

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