DocumentCode
2985833
Title
Monitoring the PSO Process Based on Fuzzy Random Variables
Author
Feng, J.Q. ; Xu, C. ; Xie, W.X.
Author_Institution
Inst. of Intell. Comput. Sci., Shenzhen Univ., Shenzhen, China
fYear
2011
fDate
3-4 Dec. 2011
Firstpage
101
Lastpage
105
Abstract
This paper presents a method for monitoring the particle swarm optimization process that accounts for the random nature of the system´s external environment and the fuzzy character of the particles´ decision-making process by regarding the fitness function as a fuzzy random variable. The belief level value and the Borel set of chance measures are also used to monitor the particle swarm optimization process and two simulation experiments show the congregate scenes of the particle swarm optimization.
Keywords
decision making; fuzzy set theory; particle swarm optimisation; Borel set; PSO process monitoring; belief level value; chance measures; decision making process; fitness function; fuzzy random variables; particle swarm optimization process; Algorithm design and analysis; Convergence; Fuzzy sets; Monitoring; Optimization; Particle swarm optimization; Random variables; Fuzzy random variables; convergence; particle swarm optimization (PSO);
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location
Hainan
Print_ISBN
978-1-4577-2008-6
Type
conf
DOI
10.1109/CIS.2011.30
Filename
6128083
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