Cooperative Task Allocation Method of MCAVUCAV Formation
Joint Authors
Zhong, Yun
Yao, Peiyang
Sun, Yu
Yang, Juan
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Unmanned Combat Aerial Vehicle (UCAV) cooperative task allocation under Manned Combat Aerial Vehicle’s (MCAV) limited control is one of the important problems in UCAV research field.
Hereto, we analyze the key technical and tactical indices influence task allocation problem and build an appropriate model to maximize the objective function values as well as reflecting various constraints.
A novel improved multigroup ant colony algorithm (IMGACA) is proposed to solve the model; the algorithm mainly includes random sequence-based UCAV selection strategy, constraint-based candidate task generation strategy, objective function value-based state transition strategy, and crossover operator-based local search strategy.
Simulation results show that the built model is reasonable and the proposed algorithm performs well in feasibility, timeliness, and stability.
American Psychological Association (APA)
Zhong, Yun& Yao, Peiyang& Sun, Yu& Yang, Juan. 2016. Cooperative Task Allocation Method of MCAVUCAV Formation. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112394
Modern Language Association (MLA)
Zhong, Yun…[et al.]. Cooperative Task Allocation Method of MCAVUCAV Formation. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112394
American Medical Association (AMA)
Zhong, Yun& Yao, Peiyang& Sun, Yu& Yang, Juan. Cooperative Task Allocation Method of MCAVUCAV Formation. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112394
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112394