Title :
On the usage of differential evolution for function optimization
Author_Institution :
Siemens AG, Muenchen, Germany
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;
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
DOI :
10.1109/NAFIPS.1996.534789
