Combined fitness–violation epsilon constraint handling for differential evolution

Over recent decades, several efficient constraint-handling methods have been proposed in the area of evolutionary computation, and the ε constraint method is considered as a state-of-the-art method for both single and multiobjective optimization. Still, very few attempts have been made to improve th...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 24; no. 10; pp. 7063 - 7079
Main Authors:	Stanovov, Vladimir, Akhmedova, Shakhnaz, Semenkin, Eugene
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2020 Springer Nature B.V
Subjects:	Artificial Intelligence Competition Computational Intelligence Constraints Control Engineering Evolutionary algorithms Evolutionary computation Foundations Handling Inequality Mathematical functions Mathematical Logic and Foundations Mechatronics Methods Multiple objective analysis Optimization Robotics Violations Constraint handling Differential evolution Constraint Selective pressure Constrained optimization
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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