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MOQPSO-DS for Air and Missile Defense WTA Problem under Uncertainty
Joint Authors
Xing, Qinghua
Xu, Hao
Tian, Zhenhao
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Aiming at the shortcomings of single objective optimization for solving weapon target assignment (WTA) and the existing multiobjective optimization based WTA method having problems being applied in air and missile defense combat under uncertainty, a fuzzy multiobjective programming based WTA method was proposed to enhance the adaptability of WTA decision to the changes of battlefield situation.
Firstly, a multiobjective quantum-behaved particle swarm optimization with double/single-well (MOQPSO-D/S) algorithm was proposed by adopting the double/single-well based position update method, the hybrid random mutation method, and the two-stage based guider particles selection method.
Secondly, a fuzzy multiobjective programming WTA model was constructed with consideration of air and missile defense combat’s characteristics.
And, the uncertain WTA model was equivalently clarified based on the necessity degree principle of uncertainty theory.
Thirdly, with particles encoding and illegal particles adjusting, the MOQPSO-D/S algorithm was adopted to solve the fuzzy multiobjective programming based WTA model.
Finally, example simulation was conducted, and the result shows that the WTA model constructed is rational and MOQPSO-D/S algorithm is efficient.
American Psychological Association (APA)
Xu, Hao& Xing, Qinghua& Tian, Zhenhao. 2017. MOQPSO-DS for Air and Missile Defense WTA Problem under Uncertainty. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192834
Modern Language Association (MLA)
Xu, Hao…[et al.]. MOQPSO-DS for Air and Missile Defense WTA Problem under Uncertainty. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1192834
American Medical Association (AMA)
Xu, Hao& Xing, Qinghua& Tian, Zhenhao. MOQPSO-DS for Air and Missile Defense WTA Problem under Uncertainty. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192834
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192834