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Approach to WTA in air combat using IAFSA-IHS algorithm 被引量:7

Approach to WTA in air combat using IAFSA-IHS algorithm
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摘要 In this paper, a static weapon target assignment(WTA)problem is studied. As a critical problem in cooperative air combat,outcome of WTA directly influences the battle. Along with the cost of weapons rising rapidly, it is indispensable to design a target assignment model that can ensure minimizing targets survivability and weapons consumption simultaneously. Afterwards an algorithm named as improved artificial fish swarm algorithm-improved harmony search algorithm(IAFSA-IHS) is proposed to solve the problem. The effect of the proposed algorithm is demonstrated in numerical simulations, and results show that it performs positively in searching the optimal solution and solving the WTA problem. In this paper, a static weapon target assignment(WTA)problem is studied. As a critical problem in cooperative air combat,outcome of WTA directly influences the battle. Along with the cost of weapons rising rapidly, it is indispensable to design a target assignment model that can ensure minimizing targets survivability and weapons consumption simultaneously. Afterwards an algorithm named as improved artificial fish swarm algorithm-improved harmony search algorithm(IAFSA-IHS) is proposed to solve the problem. The effect of the proposed algorithm is demonstrated in numerical simulations, and results show that it performs positively in searching the optimal solution and solving the WTA problem.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2018年第3期519-529,共11页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China(61472441)
关键词 air combat weapon target assignment improved artificial fish swarm algorithm-improved harmony search algorithm(IAFSA-IHS) artificial fish swarm algorithm(AFSA) harmony search(HS) air combat weapon target assignment improved artificial fish swarm algorithm-improved harmony search algorithm(IAFSA-IHS) artificial fish swarm algorithm(AFSA) harmony search(HS)
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