Title :
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
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;
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
DOI :
10.1109/CEC.2006.1688284
