A multi-objective constraint-handling method with PSO algorithm for constrained engineering optimization problems

Li, L, Li, X and Yu, X 2008, 'A multi-objective constraint-handling method with PSO algorithm for constrained engineering optimization problems', in Z Michalewicz (ed.) 2008 IEEE World Congress on Computational Intelligence, Hong Kong, China, 1-6 June 2008.


Document type: Conference Paper
Collection: Conference Papers

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Title A multi-objective constraint-handling method with PSO algorithm for constrained engineering optimization problems
Author(s) Li, L
Li, X
Yu, X
Year 2008
Conference name 2008 IEEE World Congress on Computational Intelligence
Conference location Hong Kong, China
Conference dates 1-6 June 2008
Proceedings title 2008 IEEE World Congress on Computational Intelligence
Editor(s) Z Michalewicz
Publisher IEEE
Place of publication Piscataway, USA
Abstract This paper presents a multi-objective constraint handling method incorporating the particle swarm optimization (PSO) algorithm. The proposed approach adopts a concept of Pareto domination from multi-objective optimization, and uses a few selection rules to determine particlespsila behaviors to guide the search direction. A goal-oriented programming concept is adopted to improve efficiency. Diversity is maintained by perturbing particles with a small probability. The simulation results on the three engineering benchmark problems demonstrate the proposed approach is highly competitive.
Subjects Neural, Evolutionary and Fuzzy Computation
DOI - identifier 10.1109/CEC.2008.4630995
Copyright notice © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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