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

Content Provider	Springer Nature Link
Author	Qian, Feng Xu, Bin Qi, Rongbin Tianfield, Huaglory
Copyright Year	2012
Abstract	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-constrained-domination principle, named SADE-αCD. In SADE-αCD, the trial vector generation strategies and the DE parameters are gradually self-adjusted adaptively based on the knowledge learnt from the previous searches in generating improved solutions. Furthermore, by incorporating domination principle into α-constrained method, α-constrained-domination principle is proposed to handle constraints in multi-objective problems. The advantageous performance of SADE-αCD is validated by comparisons with non-dominated sorting genetic algorithm-II, a representative of state-of-the-art in multi-objective evolutionary algorithms, and constrained multi-objective differential evolution, over fourteen test problems and four well-known constrained multi-objective engineering design problems. The performance indicators show that SADE-αCD is an effective approach to solving constrained multi-objective problems, which is basically enabled by the integration of self-adaptive strategies and α-constrained-domination principle.
Starting Page	1353
Ending Page	1372
Page Count	20
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	16
Issue Number	8
e-ISSN	14337479
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-01-26
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Constrained optimization Differential evolution Self-adaptive strategy Multi-objective optimization α-constrained-domination Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Computational Intelligence
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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