Self-adaptive differential evolution algorithm with α-constrained-domination principle for constrained multi-objective optimization

Real-world problems are inherently constrained optimization problems often with multiple conflicting objectives. To solve such constrained multi-objective problems effectively, in this paper, we put forward a new approach which integrates self-adaptive differential evolution algorithm with α-constra...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 16; no. 8; pp. 1353 - 1372
Main Authors:	Qian, Feng, Xu, Bin, Qi, Rongbin, Tianfield, Huaglory
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer-Verlag 01.08.2012 Springer Nature B.V
Subjects:	Adaptive algorithms Algorithms Archives & records Artificial Intelligence Computational Intelligence Constraints Control Design Design engineering Engineering Evolutionary algorithms Evolutionary computation Genetic algorithms Mathematical Logic and Foundations Mechatronics Multiple objective analysis Mutation Optimization Original Paper Pareto optimum Principles Robotics Search engines Search strategies Sorting algorithms Differential evolution Multi-objective optimization α-constrained-domination Constrained optimization Self-adaptive strategy
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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