Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts

Multi-objective evolutionary algorithm based on decomposition (MOEA/D) is a recently proposed algorithm which is a research focus in the field of multi-objective evolutionary optimization. It decomposes a multi-objective problem into subproblems by mathematic programming methods and applies evolutio...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 22; H. 12; S. 3997 - 4012
Hauptverfasser:	Zhang, Chunjiang, Tan, Kay Chen, Lee, Loo Hay, Gao, Liang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2018 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Intelligence Control Decomposition Engineering Evolutionary algorithms Genetic algorithms Interpolation Mathematical Logic and Foundations Mathematical programming Mechatronics Methodologies and Application Methods Multiple objective analysis Optimization Robotics Sparsity Adjust weight vector Multi-objective evolutionary algorithm (MOEA) MOEA/D Discontinuous Pareto fronts
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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