Title :
A Modified PSO Algorithm with Line Search
Author :
Zeng, Guanghui ; Jiang, Yuewen
Author_Institution :
Dept. of Electron. & Inf. Eng., Guangzhou City Constr. Coll., Conghua, China
Abstract :
Recently Particle Swarm Optimization (PSO) algorithm gained popularity and employed in many engineering applications because of its simplicity and efficiency. The performance of the PSO algorithm can further be improved by using hybrid techniques. There are various hybrid PSO algorithms published in the literature where researchers combine the benefits of PSO with other heuristics algorithms. In this paper, we propose a cooperative line search particle swarm optimization (CLS-PSO) algorithm by integrating local line search technique and basic PSO (B-PSO). The performance of the proposed hybrid algorithm, examined through four typically nonlinear optimization problems, is reported. Our experimental results show that CLS-PSO outperforms basic PSO.
Keywords :
particle swarm optimisation; cooperative line search; hybrid algorithm; modified PSO algorithm; nonlinear optimization problems; particle swarm optimization; Algorithm design and analysis; Convergence; Heuristic algorithms; Optimized production technology; Particle swarm optimization;
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
DOI :
10.1109/CISE.2010.5677031