Performance comparison of self-adaptive and adaptive differential evolution algorithms

Authors:
Janez Brest;Borko Bošković;Sašo Greiner;Viljem Žumer;Mirjam Sepesy Maučec
Affiliations:
University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Year:
2007

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Abstract

Differential evolution (DE) has been shown to be a simple, yet powerful, evolutionary algorithm for global optimization for many real problems. Adaptation, especially self-adaptation, has been found to be highly beneficial for adjusting control parameters, especially when done without any user interaction. This paper presents differential evolution algorithms, which use different adaptive or self-adaptive mechanisms applied to the control parameters. Detailed performance comparisons of these algorithms on the benchmark functions are outlined.