改进遗传算法的超视距协同多目标攻击决策  

Decision-Making for Cooperative Multiple Target Attack Based on Adaptive Pseudo-Parallel Genetic Algorithm

作　　者：张涛[1,2] 于雷[1] 魏贤智[1] 周中良[1] 

机构地区：[1]空军工程大学工程学院 [2]解放军94831部队

出　　处：《火力与指挥控制》2013年第5期137-140,共4页Fire Control & Command Control

基　　金：航空科学基金(20095196012);校博士生创新基金资助项目(Dx2010106)

摘　　要：针对空战中超视距协同多目标攻击决策问题,建立了超视距协同多目标攻击决策的目标分配模型,提出了一种新的自适应伪并行遗传算法,并将其应用于超视距协同多目标攻击决策。重点分析了威胁系数的计算,遗传编码方式、操作算子的确定,最后对协同多目标空战决策进行仿真,仿真结果验证了该理论在协同多目标攻击决策方面的有效性。Considering air combat decision-making problem in course of cooperative multiple target attack, a model for beyond visual range air combat in cooperative formation is built. Adaptive parallel genetic algorithm is used for decision-making for cooperative multiple target attack.The threaten modulus coding mode and operator are mainly discussed. The experiment results demonstrate that this algorithm could complete the decision-making, and it is feasible.

关 键 词：自适应伪并行遗传算法 武器-目标分配 协同空战 多目标攻击 

分 类 号：E991[军事—军事地形]