IACO algorithm for weapon-target assignment problem in air combat

被引:1
|
作者
Hu, Xinwu [1 ]
Luo, Pengcheng [1 ]
Zhang, Xiaonan [1 ]
机构
[1] Natl Univ Def Technol, Coll Syst Engn, Changsha, Hunan, Peoples R China
关键词
Weapon-target assignment; air combat; ant colony optimization; convergence; ANT COLONY OPTIMIZATION;
D O I
10.1145/3206185.3206186
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Weapon-target assignment (WTA) is a process of assigning weapons to targets based on the degree of threats. Taking into account the angle, speed, distance and ability threat, a WTA model is established for evaluation of the assignment. By integrating the improvements in path selection, pheromone update and pheromone concentration interval, a WTA algorithm based on improved ant colony optimization (IACO) is proposed. Compared with other three algorithms and classic ant colony optimization, the IACO requires fewer iterations and avoids local optima more effectively.
引用
收藏
页码:35 / 40
页数:6
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