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