On the usage of differential evolution for function optimization

Author

Storn, Rainer

Author_Institution

Siemens AG, Muenchen, Germany

fYear

1996

fDate

19-22 Jun 1996

Firstpage

519

Lastpage

523

Abstract

Differential evolution (DE) has recently proven to be an efficient method for optimizing real-valued multi-modal objective functions. Besides its good convergence properties and suitability for parallelization, DE´s main assets are its conceptual simplicity and ease of use. This paper describes several variants of DE and elaborates on the choice of DE´s control parameters, which corresponds to the application of fuzzy rules. Finally, the design of a howling removal unit with DE is described to provide a real-world example for DE´s applicability

Keywords

audio signals; audio systems; convergence of numerical methods; feedback; functional analysis; fuzzy systems; genetic algorithms; interference suppression; minimisation; conceptual simplicity; control parameters; convergence properties; differential evolution; ease of use; function optimization; fuzzy rules; howling removal unit; parallelization; real-valued multi-modal objective functions; Convergence; Fuzzy control; Optimization methods; Probability distribution; Random number generation; Search methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American

Conference_Location

Berkeley, CA

Print_ISBN

0-7803-3225-3

Type

conf

DOI

10.1109/NAFIPS.1996.534789

Filename

534789