DocumentCode
2461573
Title
Enhancing the robustness of a speciation-based PSO
Author
Bird, Stefan ; Li, Xiaodong
Author_Institution
RMIT Univ., Melbourne
fYear
0
fDate
0-0 0
Firstpage
843
Lastpage
850
Abstract
Speciation encourages an evolutionary algorithm to locate multiple solutions in multimodal environments. Speciation algorithms often require a user to specify a parameter to define the species radius, which can be a major drawback since this knowledge may not be available a priori. This paper proposes a technique using a time-based convergence measure to overcome this problem. The proposed method is used to enhance the performance of a speciation-based PSO (SPSO) and has been shown to be robust over a wide range of values for this user-specified parameter.
Keywords
evolutionary computation; particle swarm optimisation; evolutionary algorithm; speciation-based PSO; time-based convergence; user-specified parameter; Birds; Computer science; Convergence; Evolutionary computation; Information technology; Particle swarm optimization; Robustness; Space exploration; Stochastic processes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9487-9
Type
conf
DOI
10.1109/CEC.2006.1688399
Filename
1688399
Link To Document