Zhao Jianjun

Application of Hybrid Genetic Algorithm in Aerial Defense Target Assignment

This paper firstly set up the target assignment model according to the characteristic of target assignment in present air defense combat. For the defect of signal GA model in target assignment, an improved hybrid genetic algorithm is proposed, which first improves crossover and mutation operator and uses niche to solve the premature problem. Then the simulated annealing algorithm is embedded in the circle of adaptive genetic algorithm because simulated annealing algorithm has the strong ability of local search and makes searching process avoid sinking into the local optimal solution, to solve the shortcomings of slow convergence speed and high time complexity. Algorithm design and simulation prove the feasibility and effectiveness of the method.