火力与指挥控制2011，Vol.36Issue(6)：49-51,55,4.
基于改进粒子群算法的协同多目标攻击空战决策
Air Combat Decision-making for Cooperative Multiple Target Attack Based on Improved Particle Swarm Algorithm
摘要
Abstract
Beyond-Visual-Range air combat and cooperative multiple target attack are the trend of air combat, the key problem of cooperative multiple target attack is air combat decision-making. The model of multi-objective optimization problem for air combat decision-making was established, an improved particle swarm algorithm was put forward to solve air combat decision-making. The basic particle swarm algorithm is an effective method to solve the continuous optimization problem, the method of operating the particle directly by crossing and mutating combining the ideal of the genetic algorithm to update particle was proposed.. The simulation results showed that the proposed algorithm was an effective algorithm to deal with the air combat decision-making problem.关键词
多目标攻击；空战决策；多目标优化；粒子群算法Key words
multiple target attack, air combat decision-making, multi-objective optimization, particle swarm algorithm分类
航空航天引用本文复制引用
郭辉,徐浩军,谷向东,刘殿玉..基于改进粒子群算法的协同多目标攻击空战决策[J].火力与指挥控制,2011,36(6):49-51,55,4.基金项目
国家自然科学基金资助项目(70671106) （70671106）
