DocumentCode :
3431890
Title :
Development of particle swarm optimization algorithm
Author :
Yu Chen ; Fan Yang ; Quan Zou ; Chen Lin
Author_Institution :
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
fYear :
2011
fDate :
3-5 Aug. 2011
Firstpage :
199
Lastpage :
204
Abstract :
Particle swarm optimization (PSO) is a new stochastic optimization technique based on swarm intelligence. In this paper, we introduce the basic principles of PSO firstly. Then, the research progress on PSO algorithm is summarized in several fields, such as parameter selection and design, population topology, hybrid PSO algorithm etc. Finally, some vital applications and aspects that may be conducted in the future investigations are discussed.
Keywords :
particle swarm optimisation; PSO algorithm; particle swarm optimization algorithm; research progress; stochastic optimization technique; swarm intelligence; Algorithm design and analysis; Convergence; Heuristic algorithms; Mathematical model; Optimization; Particle swarm optimization; Topology; evolutionary computation; particle swarm optimization algorithm; swarm intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
Type :
conf
DOI :
10.1109/ICCSE.2011.6028617
Filename :
6028617
Link To Document :
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