Title :
Hybrid particle swarm optimizer with mass extinction
Author :
Xie, Xiao-Feng ; Zhang, Wen-Jun ; Yang, Zhi-Lian
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
fDate :
29 June-1 July 2002
Abstract :
A hybrid particle swarm optimizer with mass extinction, which has been suggested to be an important mechanism for evolutionary progress in the biological world, is presented to enhance the capacity in reaching an optimal solution. The tested results of three benchmark functions indicate this method improves the performance effectively.
Keywords :
evolutionary computation; optimisation; PSO algorithms; biological world evolutionary progress; evolutionary computation techniques; hybrid particle swarm optimizers; mass extinction models; optimal solutions; particle swarm optimization; Benchmark testing; Biological system modeling; Educational institutions; Equations; Evolution (biology); Evolutionary computation; Marine animals; Particle swarm optimization; Performance analysis; Upper bound;
Conference_Titel :
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN :
0-7803-7547-5
DOI :
10.1109/ICCCAS.2002.1178992
