Improving the performance of differential evolution algorithm using Cauchy mutation

Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimization of real-valued, multimodal functions. DE is generally considered as a reliable, accurate and robust optimization technique. However, the algorithm suffers from premature convergence and/or slow convergence r...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 15; no. 5; pp. 991 - 1007
Main Authors:	Ali, Musrrat, Pant, Millie
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer-Verlag 01.05.2011 Springer Nature B.V
Subjects:	Adaptation Artificial Intelligence Computational Intelligence Control Convergence Efficiency Engineering Evolutionary algorithms Evolutionary computation Genetic algorithms Investigations Literature reviews Mathematical Logic and Foundations Mechatronics Mutation Optimization Optimization techniques Original Paper Robotics Robustness (mathematics) Statistical analysis Differential evolution Cauchy mutation Global optimization
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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