空军工程大学学报（自然科学版）2017，Vol.18Issue(4)：93-98,6.DOI:10.3969/j.issn.1009-3516.2017.04.016
改进遗传算法求解防空作战WTA问题
Extraction of Weapon-Target Assignment in Air Defense with Improved Genetic Algorithm
摘要
Abstract
Weapon-Target Assignment problem is the key of air defense command and control.Aimed at the problems that precocity and slow convergence exist in the WTA in air defense, an improved genetic algorithm is proposed.The membership and non-membership functions are defined for both object and constrain function by importing the theory of intuitional fuzzy sets, and then an intuitional fuzzy WTA model is established on the basis of the "min-max" operator.In the light of constant mutation probability and lack good father individuals in progeny population, a strategy of Meta-Lamarckian learning for simulated annealing and the adaptive mutation is designed to improve genetic algorithm.The method is effective in solving air defense WTA problem compared with the other algorithms.关键词
武器目标分配/直觉模糊集/遗传算法/防空作战Key words
weapon target assignment/intuitional fuzzy sets/genetic algorithm/air defense分类
信息技术与安全科学引用本文复制引用
杨进帅,李进,王毅,魏晓辉,文童..改进遗传算法求解防空作战WTA问题[J].空军工程大学学报（自然科学版）,2017,18(4):93-98,6.基金项目
国家自然科学基金(61402517) （61402517）
中国博士后基金(2013M542331) （2013M542331）
