Weapon-Target Assignment Using Genetic Algorithm

Kyoung-Youb Kwon, J. Joh
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引用次数: 1

Abstract

The weapon-target assignment problem is solved using a genetic algorithm in this paper. The weapon-target assignment is an optimization problem which minimizes damages from enemy s attack or maximizes the kill probability of targets. Genetic algorithm is applied in this paper since it usually converges to a near global optimal solution. A specific structure of genetic algorithm which is suitable for the weapon-target assignment problem is proposed. A guideline selecting associated parameters is investigated through simulations. Comparition of the proposed method with several traditional optimization techniques for the weapon-target assignment problem shows the validity of the proposed method.
基于遗传算法的武器目标分配
本文采用遗传算法解决了武器目标分配问题。武器目标分配问题是一个最大限度地减少敌方攻击造成的伤害或最大限度地提高目标杀伤概率的优化问题。本文采用遗传算法,因为遗传算法通常收敛于一个近全局最优解。提出了一种适用于武器目标分配问题的遗传算法结构。通过仿真研究了关联参数的选择准则。将该方法与几种传统的武器目标分配优化方法进行了比较,结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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