单兵系统集成优化模型研究  

Integrated optimization model of individual soldier system

作　　者：杨洋[1] 方峻[1] 徐诚[1] 

机构地区：[1]南京理工大学机械工程学院,江苏南京210094

出　　处：《南京理工大学学报》2015年第6期717-721,共5页Journal of Nanjing University of Science and Technology

基　　金：国防基础科研

摘　　要：为提高单兵系统的综合作战效能,缩短设计周期,建立了单兵系统多目标优化计算模型。以小口径榴弹最大杀伤面积、步枪最大有效射程及防护效能为优化目标,采用遗传算法优化的方法反求权重,避免了人为确定权重的盲目性。以均匀实验样本数据为输入,采用神经网络和遗传算法相结合的方法对单兵系统总体设计进行优化,节省优化迭代计算时间。与原设计对比,小口径榴弹的杀伤面积增加了10.4%,步枪弹有效射程提高了15.6%,防护效能提高了17%。To improve the synthetical fighting efficiency of an individual soldier system and shorten design cycles,a multi-objective optimization calculation model of the individual soldier system is set up. With the optimization goals of the maximum lethal area of minor-caliber grenades,maximum effective range of rifles and protection performance,the genetic algorithm is utilized to calculate the weight of the optimization goals,and the blandness of artificial weight identifying is avoided. The individual soldier system design is optimized using neural network and genetic algorithm with the uniform experimental samples as the input data,and the optimization iterative calculation time is saved.Compared with the original design,the maximum lethal area of minor-caliber grenades is increased by 10. 4%,the maximum effective range of rifles is improved by 15. 6% and the protection performance is improved by 17%.

关 键 词：单兵系统 小口径榴弹 杀伤面积 步枪 有效射程 防护效能 遗传算法 均匀实验样本 神经网络 

分 类 号：TJ29[兵器科学与技术—武器系统与运用工程]