A PSO --- Line Search Hybrid Algorithm

Authors:
Ximing Liang;Xiang Li;M. Fikret Ercan
Affiliations:
School of Information Science and Engineering, Central South University, Changsha, China 410083;School of Information Science and Engineering, Central South University, Changsha, China 410083 and School of Electrical and Electronic Engineering, Singapore Polytechnic, Singapore 139651;School of Electrical and Electronic Engineering, Singapore Polytechnic, Singapore 139651
Venue:
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Year:
2009

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Abstract

Recently, Particle Swarm Optimization (PSO), gained vast attention and applied to variety of engineering optimization problems because of its simplicity and efficiency. The performance of the PSO algorithm can be further improved by hybrid techniques. There are numerous hybrid PSO algorithms published in the literature where researchers combine the benefits of PSO with other heuristic algorithms. In this paper, we propose a cooperative line search particle swarm optimization (CLS-PSO) algorithm by integrating local line search technique and standard PSO (S-PSO). The performance of the proposed hybrid algorithm, examined through six typical nonlinear optimization problems, is reported. Our experimental results show that CLS-PSO outperforms S-PSO.