A Novel Particle Swarm Optimization for Constrained Engineering Optimization Problems

Authors:
Minghai Jiao;Jiafu Tang
Affiliations:
The Computer Center, Northeastern University, Shenyang, P.R. China 110004;Key Laboratory of Integrated Automation of Process Industry of Ministry of Education, Northeastern University, Shenyang, P.R. China 110004
Venue:
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Year:
2008

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Abstract

A novel particle swarm optimization algorithm CEOPSO (Constrained Engineering Optimization via Particle Swarm Optimization) is proposed for solving the constrained engineering design optimization problems in this paper. In CEOPSO, a new constraint handling mechanism with three rules of *** comparison technique is introduced to keep a certain proportion of infeasible individuals in the population during the iterations of PSO since some infeasible individuals that have better fitness values maybe promising. In addition, we present an improved doubly-link ring neighbourhood structure and a BLX-*** combination method to prevent the search from being trapped into local minima. Computational results based on several well-known constrained engineering design problems show that the proposed CEOPSO algorithm performs better than the other recent approaches reported in the literature and demonstrate the robustness and competitiveness of CEOPSO.