摘要
建立了武器-目标分配问题的优化模型,分析了各种解决此模型的方法的优缺点。经典的粒子群是一个有效的寻找连续函数极值的方法,结合遗传算法的思想提出粒子群算法来解决武器-目标分配问题。经过比较测试,4种粒子群算法的效果都比较好,特别交叉策略A和变异策略B的混合粒子群算法是最好的且简单有效的算法。
An optimization model of weapon-target assignment problem （WTA） is given. Many optimization methods to solve the optimum model and their advantages and shortages are analyzed. The classical particle swarm optimization is a powerful method to find the minimum of a numerical function on a continuous definition domain. The particle swarm optimization algorithm combining the ideal of the genetic algorithm is recommended to solve the weapon-target assignment problem. All the four particle swarm optimization algorithms are proved effective. Especially the particle swarm optimization algorithm with across strategy A and mutation strategy B is a simple and effective better algorithm than others.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第7期1250-1252,1259,共4页
Systems Engineering and Electronics
关键词
粒子群
武器-目标问题
优化
particle swarm
weapon-target assignment problem
optimization
