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A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-12
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Recently, decomposition-based multiobjective evolutionary algorithms have good performances in the field of multiobjective optimization problems (MOPs) and have been paid attention by many scholars.
Generally, a MOP is decomposed into a number of subproblems through a set of weight vectors with good uniformly and aggregate functions.
The main role of weight vectors is to ensure the diversity and convergence of obtained solutions.
However, these algorithms with uniformity of weight vectors cannot obtain a set of solutions with good diversity on some MOPs with complex Pareto optimal fronts (PFs) (i.e., PFs with a sharp peak or low tail or discontinuous PFs).
To deal with this problem, an improved decomposition-based multiobjective evolutionary algorithm with adaptive weight adjustment (IMOEA/DA) is proposed.
Firstly, a new method based on uniform design and crowding distance is used to generate a set of weight vectors with good uniformly.
Secondly, according to the distances of obtained nondominated solutions, an adaptive weight vector adjustment strategy is proposed to redistribute the weight vectors of subobjective spaces.
Thirdly, a selection strategy is used to help each subobjective space to obtain a nondominated solution (if have).
Comparing with six efficient state-of-the-art algorithms, for example, NSGAII, MOEA/D, MOEA/D-AWA, EMOSA, RVEA, and KnEA on some benchmark functions, the proposed algorithm is able to find a set of solutions with better diversity and convergence.
American Psychological Association (APA)
Dai, Cai& Lei, Xiujuan. 2018. A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment. Complexity،Vol. 2018, no. 2018, pp.1-20.
https://search.emarefa.net/detail/BIM-1132980
Modern Language Association (MLA)
Dai, Cai& Lei, Xiujuan. A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment. Complexity No. 2018 (2018), pp.1-20.
https://search.emarefa.net/detail/BIM-1132980
American Medical Association (AMA)
Dai, Cai& Lei, Xiujuan. A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment. Complexity. 2018. Vol. 2018, no. 2018, pp.1-20.
https://search.emarefa.net/detail/BIM-1132980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132980