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
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);
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.30
