基于蚁群算法的战场兵力机动优化仿真  

Simulation of Optimization for Force Maneuver in Battlefield Based on Ant Colony Algorithm

作　　者：潘泽东 刘付显[1] PAN Ze-dong, LIU Fu-xian(Air and Missile Defense College, Air Force Engineering University, Xi＇an Shanxi 710051, Chin)

机构地区：[1]空军工程大学防空反导学院,陕西西安710051

出　　处：《计算机仿真》2018年第5期27-30,共4页Computer Simulation

摘　　要：野战防空兵部队在战时根据作战任务需要和所要担负的野战防空作战任务的特点,要经常性的进行阵地转换。因此,指挥决策者要对野战防空部队的战场兵力机动路线进行有效选择,是其在有限时间内决策出最优的机动路线的基础与依据。基于蚁群算法解决最短路径的思路,提出影响野战防空部队战场机动的多重指标,从野战防空部队兵力机动的实际问题出发,确定各影响因素之间的权重问题,建立评判野战防空部队兵力机动的主要指标体系,以算例检验了所提思路的有效性和实用性。In wartime, field air-defense troops have to change the battle field regularly based on the requirement of combat mission and the characteristics of combat mission of field air defense. Therefore, decision makers need to availably select the force maneuver route of field air-defense troop, which is the basis for decision makers to determine the optimal maneuvering route in limited time. Based on the idea of ant colony optimization for solving shortest path, this article proposes the multiple indicators which influence battlefield maneuver of field air-defense troop. Ai- ming at the practical problem of force maneuver of field air-defense troop, the weights among each influencing factor were determined. Then, the main index system of evaluating force maneuver of field air-defense troop was established. Thus, the effectiveness and practicability of proposed thought was verified with an example.

关 键 词：兵力机动 里程指数 最优 蚁群算法 

分 类 号：E841[军事—战术学]