Title :
DEPSO: hybrid particle swarm with differential evolution operator
Author :
Zhang, Wen-Jun ; Xie, Xiao-Feng
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Abstract :
A hybrid particle swarm with differential evolution operator, termed DEPSO, which provide the bell-shaped mutations with consensus on the population diversity along with the evolution, while keeping the self-organized particle swarm dynamics, is proposed. Then it is applied to a set of benchmark functions, and the experimental results illustrate its efficiency.
Keywords :
evolutionary computation; mathematical operators; optimisation; bell-shaped mutations; differential evolution operator; hybrid particle swarm; particle swarm optimization; population diversity; self-organized particle swarm dynamics; Acceleration; Chromium; Differential equations; Gaussian distribution; Genetic mutations; Microelectronics; Particle swarm optimization; Topology;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1244483
