DocumentCode
532378
Title
Algorithm design and experimental analysis for hybrid PSO based on VDGRASP
Author
Liu Lei ; Jing Tao ; Wu Xiaoyong
Author_Institution
Naval Acad. of Armament, Beijing, China
Volume
1
fYear
2010
fDate
22-24 Oct. 2010
Abstract
The intensification mechanism and diversification mechanism of Basic Particle Swarm Optimization (BPSO) algorithm were analyzed, and the precision problem of BPSO was discussed. Then a new hybrid PSO algorithm was set up, and the Variable Dimension Greedy Randomized Adaptive Search Procedure (VDGRASP) was designed to combine with BPSO. Two parameters of the hybrid PSO, SubDNum and PerturbScope, were analyzed through experiments, and the adaptive variations were designed for them. Three benchmarks were tested and show that the new algorithm is better than the BPSO with precision.
Keywords
particle swarm optimisation; search problems; adaptive search procedure; diversification mechanism; greedy randomized search procedure; hybrid PSO; intensification mechanism; particle swarm optmization; variable dimension search procedure; evolutionary computation; hybrid P SO; intensification mechanism; precision improvement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620436
Filename
5620436
Link To Document