Self-Adaptive Differential Evolution Algorithm in Constrained Real-Parameter Optimization

Author

Brest, J. ; Zumer, V. ; Maucec, Mirjam

Author_Institution

Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova ul. 17, 2000 Maribor, Slovenia, email: janez.brest@uni-mb.si

fYear

0

fDate

0-0 0

Firstpage

215

Lastpage

222

Abstract

Differential Evolution (DE) has been shown to be a powerful evolutionary algorithm for global optimization in many real problems. Self-adaptation has been found to be high beneficial for adjusting control parameters during evolutionary process, especially when done without any user interaction. In this paper we investigate a self-adaptive differential evolution algorithm where more DE strategies are used and control parameters F and CR are self-adapted. The performance of the self-adaptive differential evolution algorithm is evaluated on the set of 24 benchmark functions provided for the CEC2006 special session on constrained real parameter optimization.

Keywords

evolutionary computation; optimisation; constrained real-parameter optimization; control parameters; self-adaptive differential evolution algorithm; Computer science; Constraint optimization; Encoding; Evolutionary computation; Genetic mutations; Performance analysis; Robust control; Testing; Upper bound;

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.2006.1688311

Filename

1688311