DocumentCode
619663
Title
A naive particle swarm algorithm for constrained optimization problems
Author
Jin Qin ; Benliang Xie
Author_Institution
Coll. of Comput. Sci. & Inf., Guizou Univ., Guiyang, China
fYear
2013
fDate
25-27 May 2013
Firstpage
46
Lastpage
50
Abstract
In this paper, a naive particle swarm algorithm for constrained optimization problems is proposed. Also, a direct constraint handling method is adopted, which is more direct and easier to be implemented in comparison with other constraint handling methods, such as penalty function, etc. The experimental results on benchmark problems show that the proposed algorithm can solve constrained optimization problems effectively and has a robust performance.
Keywords
constraint handling; particle swarm optimisation; NPSO algorithm; constrained optimization problems; direct constraint handling method; naive particle swarm algorithm; Benchmark testing; Educational institutions; Equations; Optimization; Particle swarm optimization; Standards; Vectors; Constrained Optimization Problem; Constraint Handling; Particle Swarm Optimization; Penalty Function;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6560892
Filename
6560892
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