A modified strategy for the constriction factor in particle swarm optimization

Authors:
Lam T. Bui;Omar Soliman;Hussein A. Abbass
Affiliations:
The Artificial Life and Adaptive Robotics Laboratory, School of ITEE, ADFA, University of New South Wales, Canberra, Australia;The Artificial Life and Adaptive Robotics Laboratory, School of ITEE, ADFA, University of New South Wales, Canberra, Australia;The Artificial Life and Adaptive Robotics Laboratory, School of ITEE, ADFA, University of New South Wales, Canberra, Australia
Venue:
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
Year:
2007

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Abstract

In this paper, we propose a modification to particle swarm optimization in order to speed up the optimization process. The modification is applied to the constriction coefficient, an important parameter that controls the convergence rate. To validate the proposed strategy, we carried out a number of experiments on a wide range of 25 standard test problems. The obtained results show that the proposed strategy significantly improves the performance of the selected PSO algorithm.