Radar netting optimal is studied, a e- valuation model for radar optimal disposition is established, simulated annealing genetic algorithms of radar netting optimization which adopts self- adaptive crossover and overall mutation is designed.

Going through exact steps of this algorithm in detail, and by way of simulation with real cases, the author obtains optimal deployments for any type of air-defense missiles when which forms a system.

In order to research thoroughly the affection and restriction of actual position environment to the deployment of radar networks,and discuss a sort of practical and effective method for optimizing the deployment of radar networks,The optimal deployment of radar networks in actual position environment is analyzed thoroughly.

Based on concrete analysis of relationship between the RCS and incidence angle of radar wave,a parameter of blind-area elimination and its quantitative formula are presented,an optimal deployment model of mini-type radar network is designed,and its optimal algorithm i.

Modeling on area air defense optimization deployment system;

the optimal deploy problem of multiple sets of radar is solved by use of Monte Carlo method for calculating square and genetic algorithm to find the optimal result.