基于遗传模糊推理系统的截击点智能解算方法  

Intelligent Calculation Method of Intercept Point Based on Genetic Fuzzy Inference System

作　　者：李友江[1] 汪亚斌 LI Youjiang;WANG Yabin(Science and Technology on Information Systems Engineering Laboratory,Nanjing 210007,China)

机构地区：[1]信息系统工程重点实验室,南京210007

出　　处：《火力与指挥控制》2023年第1期99-104,共6页Fire Control & Command Control

摘　　要：由于传统截击引导需要人的参与才能完成截击任务,截击方案生成速度要受到人反应速度的限制,成为提高作战速度的一个瓶颈。针对空中战场态势变化快、依靠人工制定拦截方案难以适应未来空战的问题,构建基于模糊推理系统的空战截击点智能解算模型,并采用分段变异和变步长寻优的遗传算法对模型进行训练,实现了对截击方案的快速估算,得到在解空间内性能可以达到甚至超越人类的截击点智能解算模型。As the traditional intercept guidance needs the involvment of personnel to complish the intercept task,the generation speed of intercept scheme is limited by the response speed of personnel and it becomes a bottle neck to improve the combat speed.In view of the rapid changes in the air battlefield situation and the difficulty of adapting to future air combat by manually formulating interception plans,an intelligent solution model for air combat interception points based on a fuzzy inference system is constructed,and the genetic algorithm of segmented mutation and variable step size optimization is used to train the model.The rapid estimation of the interception plan is realized,and the performance of the intelligent solution model of the interception point in the solution space can reach or even surpass that of human beings.

关 键 词：模糊推理 遗传算法 截击点 分段变异 变步长 

分 类 号：E92[军事—军事装备学]