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Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism

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2 Author(s)
J. J. Liang ; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, e-mail: ; P. N. Suganthan

In this paper, a novel constraint-handling mechanism based on multi-swarm is proposed. Different from the existing constraints handling methods, the sub-swarms are adaptively assigned to explore different constraints according to their difficulties. The new mechanism is combined in dynamic multi-swarm optimizer (DMS-PSO) for handling constrained real-parameter optimization problems and sequential quadratic programming (SQP) method is combined to improve its local search ability. The performance of the modified DMS-PSO on the set of benchmark functions provided by CEC2006 [1] is reported.

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2006 IEEE International Conference on Evolutionary Computation

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