Studying on Weapons-Targets Assignment Based on Genetic Algorithm

Jintao Su, Yunqi Yao, Yuefeng He
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引用次数: 2

Abstract

Under the condition that the platform may be attacked by multiple types of targets, the types of weapons on the platform are diverse and the operational situation is complex, the traditional method of the weapon-target assignment cannot adapt to the requirements of the high intensity and multi-aspects. This paper puts forward the concept of weapon compatibility coefficient, establishes the mathematical model of weapons-targets assignment, and designs the weapons-targets assignment algorithm by the genetic algorithm. The simulation experiment shows that this method can provide nearly real-time and overall optimal weapons-target assignment decision for multi-aspect combat of the platform, and can significantly improve the comprehensive effectiveness.
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基于遗传算法的武器目标分配研究
在平台可能受到多类型目标攻击、平台武器种类多样、作战态势复杂的情况下,传统的武器目标分配方法已不能适应高强度、多面向的要求。提出了武器兼容系数的概念,建立了武器-目标分配的数学模型,并用遗传算法设计了武器-目标分配算法。仿真实验表明,该方法可以为平台的多面向作战提供近乎实时、全面的最优武器目标分配决策,显著提高综合效能。
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