| 武器-目标分配问题的粒子群优化算法 |
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| 引用本文： | 高尚,杨静宇.武器-目标分配问题的粒子群优化算法[J].系统工程与电子技术,2005,27(7):1250-1252. |
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| 作者姓名： | 高尚 杨静宇 |
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| 作者单位： | 1. 江苏科技大学电子信息学院,江苏,镇江,212003;南京理工大学计算机科学与技术系,江苏,南京,210094
2. 南京理工大学计算机科学与技术系,江苏,南京,210094 |
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| 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。
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| 关 键 词： | 粒子群 武器-目标问题 优化 |
| 文章编号： | 1001-506X(2005)07-1250-04 |
| 修稿时间： | 2004年7月8日 |
Solving weapon-target assignment problem by particle swarm optimization algorithm |
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| GAO Shang,YANG Jing-yu.Solving weapon-target assignment problem by particle swarm optimization algorithm[J].System Engineering and Electronics,2005,27(7):1250-1252. |
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| Authors: | GAO Shang YANG Jing-yu |
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| Institution: | GAO Shang1,2,YANG Jing-yu2 |
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| Abstract: | 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 op- timization 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 bet- ter algorithm than others. |
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| Keywords: | particle swarm weapon-target assignment problem optimization |
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