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Optimized target assignment using improved genetic algorithm in naval fleet air defense

HAN Rui-xin~(1,2),ZHU Hong-sheng~2,LU Hou-qing~2,QU Bing-chao~2, ZHANG Hong-jun~2(1.Naval Command College,Nanjing 210016,China;2.Engineering Institute of Corps of Engineers,PLA Univ.of Sci.& Tech.,Nanjing 210007,China)  
Naval fleet air defense was studied and an anti-air fire optimal target assignment model was established.Combining the features of naval fleet antiair combat,several classical assignment algorithms were discussed.In order to find global optimal results efficiently,traditional GAs were improved and used for sloving the optimal allocation of naval fleet air defense.Though genetic algorithm,as an effective global search method,had been used widely,it had the disadvantages of slow convergence and poor stability in practical engineering.In order to overcome these problems,an improved genetic algorithm was proposed in terms of creation of the initial population,genetic operators,and etc.Finally,the steps to solve the optimal model were put forward.With this model,ideal results were obtained.This shows that the method can offer a scientific and effective support for a decision maker in command automation of the air defense combat.
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