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Weapon-Target Assignment Problem by Multiobjective Evolutionary Algorithm Based on Decomposition
Joint Authors
Zhou, Deyun
Tang, Yongchuan
Li, Xiaoyang
Pan, Qian
Huang, Jichuan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-23
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The weapon-target assignment (WTA) problem is a key issue in Command & Control (C2).
Asset-based multiobjective static WTA (MOSWTA) problem is known as one of the notable issues of WTA.
Since this is an NP-complete problem, multiobjective evolutionary algorithms (MOEAs) can be used to solve it effectively.
The multiobjective evolutionary algorithm based on decomposition (MOEA/D) is a practical and promising multiobjective optimization technique.
However, MOEA/D is originally designed for continuous multiobjective optimization which loses its efficiency to discrete contexts.
In this study, an improved MOEA/D is proposed to solve the asset-based MOSWTA problem.
The defining characteristics of this problem are summarized and analyzed.
According to these characteristics, an improved MOEA/D framework is introduced.
A novel decomposition mechanism is designed.
The mating restriction and selection operation are reformulated.
Furthermore, a problem-specific population initialization method is presented to improve the efficiency of the proposed algorithm, and a novel nondominated solution-selection method is put forward to handle the constraints of Pareto front.
Appropriate extensions of four MOEA variants are developed in comparison with the proposed algorithm on some generated scenarios.
Extensive experiments demonstrate that the proposed method is effective and promising.
American Psychological Association (APA)
Li, Xiaoyang& Zhou, Deyun& Pan, Qian& Tang, Yongchuan& Huang, Jichuan. 2018. Weapon-Target Assignment Problem by Multiobjective Evolutionary Algorithm Based on Decomposition. Complexity،Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1136281
Modern Language Association (MLA)
Li, Xiaoyang…[et al.]. Weapon-Target Assignment Problem by Multiobjective Evolutionary Algorithm Based on Decomposition. Complexity No. 2018 (2018), pp.1-19.
https://search.emarefa.net/detail/BIM-1136281
American Medical Association (AMA)
Li, Xiaoyang& Zhou, Deyun& Pan, Qian& Tang, Yongchuan& Huang, Jichuan. Weapon-Target Assignment Problem by Multiobjective Evolutionary Algorithm Based on Decomposition. Complexity. 2018. Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1136281
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136281