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

Author

Liang, J.J. ; Suganthan, P.

Author_Institution

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, e-mail: liangjing@pmail.ntu.edu.sg

fYear

0

fDate

0-0 0

Firstpage

9

Lastpage

16

Abstract

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.

Keywords

constraint handling; particle swarm optimisation; quadratic programming; constraint-handling mechanism; dynamic multi-swarm particle swarm optimizer; real-parameter optimization; sequential quadratic programming; Constraint optimization; Dynamic programming; Evolutionary computation; Genetic mutations; Particle swarm optimization; Quadratic programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2006. CEC 2006. IEEE Congress on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9487-9

Type

conf

DOI

10.1109/CEC.2006.1688284

Filename

1688284