基于遗传算法的面目标瞄准点寻优问题研究  

Optimization of Area Target Aiming Point Based on Genetic Algorithm

作　　者：郝辉[1] 李雪瑞[1] 李亚雄[1] 

机构地区：[1]第二炮兵工程大学,西安710025

出　　处：《兵器装备工程学报》2016年第1期128-131,共4页Journal of Ordnance Equipment Engineering

摘　　要：为解决面目标瞄准点寻优问题,在单弹打击不规则面目标毁伤面积计算的基础上,给出了多弹打击面目标的毁伤面积计算模型和重复毁伤面积计算方法。建立了瞄准点优化模型,利用遗传算法原理,对瞄准点进行编码,确定了适应度函数,设计了遗传算子,并设计了不规则面目标瞄准点选择计算实例。实例计算结果表明,该方法计算可信度较高,且具有一定的可操作性,军事应用价值较强。In order to solve the aiming point optimization problem, a calculation method of multi-missile striking target damage area and repeated damage area were proposed on the basis of single missile striking irregular surface target damage area. Aiming point optimization model was established. By the principle of genetic algorithm, the aiming points were encoded, the fitness function was determined, the genetic operator was designed and irregular surface target aiming point selection and calculation example was given. The result shows that the method has good reliability and operability. It has strong value of military application.

关 键 词：不规则面目标 遗传算法 毁伤面积 瞄准点 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]