改进遗传算法在防空武器目标分配中的应用研究

Application Research of Improved GA in WTA of Air Defense

针对传统方法在防空武器目标分配时仅考虑双方态势优势的问题，建立了基于综合射击优势和目标威胁度的武器目标分配数学模型，并使用改进遗传算法对该模型进行了求解。该算法相比传统遗传算法主要进行了以下改进：采用排队选择和轮盘赌选择结合的选择方法，采用子代个体部分替换或不替换双亲的方法，采用了自适应变异概率等。并在Matlab环境下进行了仿真，且和传统算法进行了对比，仿真结果证明该算法改进合理，对地面防空火力分配决策研究具有一定的参考价值。

Aiming at the question of only considering state advantage when use traditional method in WTA, this paper builds a WTA model based on synthetical fire advantage and object threat degree, and solves the model by using improved GA. The improvement of new method is as follows：the method used consists of queue choice and roulette choice, and using son to replace part of or not replace parents and u- sing adaptive variation probability and so on. Finally the improved arithmetic is realized in matlab, and the simulation result shows that the method is reasonable compared with the traditional method and it can be taken as a reference for fire power assignment in decision making of air defense.