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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6560892
