Title :
Application of Immune Particle Swarm Optimizer in Function Optimization
Author :
Jinli Xu ; Ming Zheng ; Ying Duan
Author_Institution :
Sch. of Mech. & Electron. Eng., Wu Han Univ. of Technol., WuHan, China
Abstract :
Particle swarm optimization (PSO) algorithm is widely used in function optimization, but the performance of PSO algorithm is restricted as frequently occurrences of the premature. Introduce immune operator to PSO algorithm can be to avoid premature and improve the performance of algorithm. For the four benchmark functions, the results show that the immune operator improve performance of algorithm significantly.
Keywords :
particle swarm optimisation; benchmark functions; function optimization; immune operator; immune particle swarm optimizer; particle swarm optimization algorithm; Application software; Artificial immune systems; Computational complexity; Computer science; Convergence; Genetics; Immune system; Large-scale systems; Particle swarm optimization; Timing;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5364708
