基于遗传算法的组网雷达优化部署

组网雷达优化部署是发挥雷达网互补与倍增性能的前提和基础，由于雷达网部署涉及的因素很多，是一个多约束条件的多目标优化问题。采用一种基于遗传算法的组网雷达优化部署算法，采用综合性能函数作为优化目标函数，在种群产生时加入约束条件，将有约束问题转化为无约束的优化问题，克服了枚举法执行速度慢和专家推理法知识组合爆炸的问题。仿真结果表明，该方法能达到最优或准最优解，是一种有效的组网雷达优化部署方法。

Optimal Deployment of Netting Radars Based on Genetic Algorithms

The optimal deployment of netting radars is the foundation that the radar network exerts its performance to improve the capability of detection.Involved in so many factors,the optimal deployment of radars is a multi-target and multi-constraint issue.In this paper,an algorithm based on genetic algorithms is discussed.The algorithm takes the integrated performance as the obj ective function of optimization.In the generation of new population,this algorithm takes the constraint conditions into account in order to translate the constrained problem into a unconstrained one.This algorithm conquer the disadvantages of traditional methods,such as more searching,slow speed,and so on.The simulation result indicates that this algorithm can reach the optimal solution and is a valid method.