火力与指挥控制Issue(5)：137-140,4.
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
摘要
Abstract
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Key words
adaptive pseudo-parallel genetic algorithm/weapon-target assignment/cooperative air combat/multiple target attack分类
军事科技引用本文复制引用
张涛,于雷,魏贤智,周中良..改进遗传算法的超视距协同多目标攻击决策*[J].火力与指挥控制,2013,(5):137-140,4.基金项目
航空科学基金（20095196012）；校博士生创新基金资助项目 （）
