Lily D. Li

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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(More)
This paper presents a modified PSO algorithm for solving constrained multi-objective optimization problems. Based on the constraint dominance concept, the proposed approach defines two sets of selection rules for determining the cognitive and social components of the PSO algorithm. The simulation results to the four constrained multi-objective optimization(More)
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