Target assignment based on matrix transform-genetic algorithm in cooperative air combat

Yu Wang; Weiguo Zhang; Yong Li

doi:10.1109/CCDC.2015.7161892

Target assignment based on matrix transform-genetic algorithm in cooperative air combat

Yu Wang, Weiguo Zhang, Yong Li

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In cooperative air combat the constraint conditions are often difficult to guarantee in the process of target assignment's solution solving. To cope with this problem, a target assignment algorithm based on matrix transform-genetic algorithm is proposed. First, the preference index is introduced to establish a new target assignment model concerning damage probability to enemy and the consumption of the missile. Then, in order to satisfy the constraints, a new method of crossover and mutation operation based on matrix transformation is designed under the premise of retaining the framework of classic genetic algorithm. The simulation results indicate that, the feasibility of the solution is ensured and the optimal results of target assignment are quickly found simultaneously. Therefore the validity of the model and method is verified.

Original language	English
Title of host publication	Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6031-6034
Number of pages	4
ISBN (Electronic)	9781479970179
DOIs	https://doi.org/10.1109/CCDC.2015.7161892
State	Published - 17 Jul 2015
Event	27th Chinese Control and Decision Conference, CCDC 2015 - Qingdao, China Duration: 23 May 2015 → 25 May 2015

Publication series

Name	Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

Conference

Conference	27th Chinese Control and Decision Conference, CCDC 2015
Country/Territory	China
City	Qingdao
Period	23/05/15 → 25/05/15

Keywords

constraints
cooperative air combat
crossover and mutation
matrix transform-genetic algorithm
preference index
target assignment

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10.1109/CCDC.2015.7161892

Cite this

Wang, Y., Zhang, W., & Li, Y. (2015). Target assignment based on matrix transform-genetic algorithm in cooperative air combat. In Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015 (pp. 6031-6034). Article 7161892 (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2015.7161892

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title = "Target assignment based on matrix transform-genetic algorithm in cooperative air combat",

abstract = "In cooperative air combat the constraint conditions are often difficult to guarantee in the process of target assignment's solution solving. To cope with this problem, a target assignment algorithm based on matrix transform-genetic algorithm is proposed. First, the preference index is introduced to establish a new target assignment model concerning damage probability to enemy and the consumption of the missile. Then, in order to satisfy the constraints, a new method of crossover and mutation operation based on matrix transformation is designed under the premise of retaining the framework of classic genetic algorithm. The simulation results indicate that, the feasibility of the solution is ensured and the optimal results of target assignment are quickly found simultaneously. Therefore the validity of the model and method is verified.",

keywords = "constraints, cooperative air combat, crossover and mutation, matrix transform-genetic algorithm, preference index, target assignment",

author = "Yu Wang and Weiguo Zhang and Yong Li",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 27th Chinese Control and Decision Conference, CCDC 2015 ; Conference date: 23-05-2015 Through 25-05-2015",

year = "2015",

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doi = "10.1109/CCDC.2015.7161892",

language = "英语",

series = "Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015",

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Wang, Y, Zhang, W & Li, Y 2015, Target assignment based on matrix transform-genetic algorithm in cooperative air combat. in Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015., 7161892, Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 6031-6034, 27th Chinese Control and Decision Conference, CCDC 2015, Qingdao, China, 23/05/15. https://doi.org/10.1109/CCDC.2015.7161892

Target assignment based on matrix transform-genetic algorithm in cooperative air combat. / Wang, Yu; Zhang, Weiguo; Li, Yong.
Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 6031-6034 7161892 (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Target assignment based on matrix transform-genetic algorithm in cooperative air combat

AU - Wang, Yu

AU - Zhang, Weiguo

AU - Li, Yong

PY - 2015/7/17

Y1 - 2015/7/17

N2 - In cooperative air combat the constraint conditions are often difficult to guarantee in the process of target assignment's solution solving. To cope with this problem, a target assignment algorithm based on matrix transform-genetic algorithm is proposed. First, the preference index is introduced to establish a new target assignment model concerning damage probability to enemy and the consumption of the missile. Then, in order to satisfy the constraints, a new method of crossover and mutation operation based on matrix transformation is designed under the premise of retaining the framework of classic genetic algorithm. The simulation results indicate that, the feasibility of the solution is ensured and the optimal results of target assignment are quickly found simultaneously. Therefore the validity of the model and method is verified.

AB - In cooperative air combat the constraint conditions are often difficult to guarantee in the process of target assignment's solution solving. To cope with this problem, a target assignment algorithm based on matrix transform-genetic algorithm is proposed. First, the preference index is introduced to establish a new target assignment model concerning damage probability to enemy and the consumption of the missile. Then, in order to satisfy the constraints, a new method of crossover and mutation operation based on matrix transformation is designed under the premise of retaining the framework of classic genetic algorithm. The simulation results indicate that, the feasibility of the solution is ensured and the optimal results of target assignment are quickly found simultaneously. Therefore the validity of the model and method is verified.

KW - constraints

KW - cooperative air combat

KW - crossover and mutation

KW - matrix transform-genetic algorithm

KW - preference index

KW - target assignment

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M3 - 会议稿件

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T3 - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

SP - 6031

EP - 6034

BT - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Chinese Control and Decision Conference, CCDC 2015

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ER -

Wang Y, Zhang W, Li Y. Target assignment based on matrix transform-genetic algorithm in cooperative air combat. In Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 6031-6034. 7161892. (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015). doi: 10.1109/CCDC.2015.7161892

Target assignment based on matrix transform-genetic algorithm in cooperative air combat

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