Self-adaptive weight vector adjustment strategy for decomposition-based multi-objective differential evolution algorithm

In multi-objective and many-objective optimization, weight vectors are particularly crucial to the performance of decomposition-based optimization algorithms. The uniform weight vectors are not suitable for complex Pareto fronts (PFs), so it is necessary to improve the distribution of weight vectors...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 24; H. 17; S. 13179 - 13195
Hauptverfasser:	Fan, Rui, Wei, Lixin, Li, Xin, Zhang, Jinlu, Fan, Zheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computational Intelligence Control Convergence Decomposition Engineering Evolutionary algorithms Evolutionary computation Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple objective analysis Optimization Pareto optimization Robotics Evolutionary computations Multi-objective optimization Decomposition Many-objective optimization Weight vector
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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