| With information advantage as the core of the revolution inmilitary affairs is based on advanced command, control,communications, computers,intelligence,surveillance,reconnaissance and integration of information warfarecapabilities, in our country, this system is called theintegrated electronic information system. A variety of radarnetwork is an important source of information for integratedelectronic information system. How to optimize thedeployment of radar network is a very important subject.The deployment of radar net is according to a mission ofthe military to deployment the radars to different locationswhich are linked together organically through the informationstation used to fusion the information. Or to make a new radarnet by increasing or reduction the number of the radars,change the deployment location in the original radar networkenvironment, so as to achieve the technical perfomance ofoperations required. Genetic algorithm is a global optimization algorithm ofparallel, stochastic, adaptive a height based on naturalselection and genetic mechanism of the biological.In many fields,genetic algorithm has been widely appliedin such as function’s optimization,automatic control,machinelearning,artificial intelligence etc..Genetic algorithm is aheuristic search algorithm doesn’t need the necessaryconditions on mathematics, can achieve good results dealingwith the problems of multiple peaks, non-convexnon-continuou, non-differentiable. At the same time, As thegenetic algorithm’s randomness and implicit parallelism,which can search multiple local minima, so it is very suitablefor the problem ofmulti-objective optimization.In the process of building the optimization scheme ofradar-net deployment based on genetic algorithm,by settingup the crossover operator and the mutation operatorcombined with the actual situation. Through the simulationand analysis, it can be seen that the scheme can significantlyimprove the efficiency of the whole system. |
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