A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms

Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous attention and achieved great success in the fields of optimization and decision-making. MOEA/Ds work by decomposing the target multiobjective optimization problem (MOP) into multiple single-objective sub...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 24; no. 4; pp. 634 - 649
Main Authors:	Ma, Xiaoliang, Yu, Yanan, Li, Xiaodong, Qi, Yutao, Zhu, Zexuan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Computer science Decision making Decomposition Decomposition-based MOEA Evolutionary algorithms Evolutionary computation Genetic algorithms Mopping multiobjective evolutionary algorithms multiobjective evolutionary algorithms based on decomposition (MOEA/D) Multiple objective analysis Pareto optimization Shape Sociology Weight weight vector adjustment
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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