DocumentCode :
2136198
Title :
Discrete local particle swarm optimization: A more rapid and precise hybrid particle swarm optimization
Author :
Xin Wang ; Xing Wang ; Na Li
Author_Institution :
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
512
Lastpage :
516
Abstract :
In this paper, a hybrid particle swarm optimization called discrete local particle swarm optimization is proposed. The new method combines the global search ability of the particle swarm optimization and the precise search ability of the local search algorithm. A discrete particle swarm optimization is used in this method to rapidly find an approximate discrete solution which is near the final continuous solution. Then a local search algorithm is used based on this discrete solution to get a more accurate solution, which makes the discrete solution continuous. The improved algorithm is applied to six benchmark functions and the results show that this algorithm is usually more rapid and precise than the classical particle swarm optimization.
Keywords :
particle swarm optimisation; search problems; approximate discrete solution; benchmark functions; discrete local particle swarm optimization; global search ability; hybrid particle swarm optimization; local search algorithm; precise search ability; Approximation algorithms; Benchmark testing; Convergence; Educational institutions; Gradient methods; Particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6818030
Filename :
6818030
Link To Document :
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