Sciweavers

Share
SWARM
2010
SPRINGER

Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm

11 years 6 months ago
Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm
Abstract. In this work we propose a different particle swarm optimization (PSO) algorithm that employs two key features of the conjugate gradient (CG) method. Namely, adaptive weight factor for each particle and iteration number (calculated as in the CG approach), and periodic restart. Experimental results for four well known test problems have showed the superiority of the new PSO-CG approach, compared with the classical PSO algorithm, in terms of convergence speed and quality of obtained solutions.
Abdallah Qteish, Mohammad Hamdan
Added 11 Jul 2010
Updated 11 Jul 2010
Type Conference
Year 2010
Where SWARM
Authors Abdallah Qteish, Mohammad Hamdan
Comments (0)
books