A Hybrid Multiobjective Discrete Particle Swarm Optimization Algorithm for Cooperative Air Combat DWTA
Joint Authors
Peng, Guang
Fang, Yangwang
Chen, Shaohua
Peng, Weishi
Yang, Dandan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A hybrid multiobjective discrete particle swarm optimization (HMODPSO) algorithm is proposed to solve cooperative air combat dynamic weapon target assignment (DWTA).
First, based on the threshold of damage probability and time window constraints, a new cooperative air combat DWTA multiobjective optimization model is presented, which employs the maximum of the target damage efficiency and minimum of ammunition consumption as two competitive objective functions.
Second, in order to tackle the DWTA problem, a mixed MODPSO and neighborhood search algorithm is proposed.
Furthermore, the repairing operator is introduced into the mixed algorithm, which not only can repair infeasible solutions but also can improve the quality of feasible solutions.
Besides, the Cauchy mutation is adopted to keep the diversity of the Pareto optimal solutions.
Finally, a typical two-stage DWTA scenario is performed by HMODPSO and compared with three other state-of-the-art algorithms.
Simulation results verify the effectiveness of the new model and the superiority of the proposed algorithm.
American Psychological Association (APA)
Peng, Guang& Fang, Yangwang& Chen, Shaohua& Peng, Weishi& Yang, Dandan. 2017. A Hybrid Multiobjective Discrete Particle Swarm Optimization Algorithm for Cooperative Air Combat DWTA. Journal of Optimization،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1185954
Modern Language Association (MLA)
Peng, Guang…[et al.]. A Hybrid Multiobjective Discrete Particle Swarm Optimization Algorithm for Cooperative Air Combat DWTA. Journal of Optimization No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1185954
American Medical Association (AMA)
Peng, Guang& Fang, Yangwang& Chen, Shaohua& Peng, Weishi& Yang, Dandan. A Hybrid Multiobjective Discrete Particle Swarm Optimization Algorithm for Cooperative Air Combat DWTA. Journal of Optimization. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1185954
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1185954