用于航迹规划的遗传算法多样性改进

Unmanned Aircraft planning optimization objective is to find the optimal solution or find a number of different solutions. the genetic algorithm as an evolutionary algorithm,is very suitable for looking for a number of different solutions, but the drawback of the genetic algorithm is the premature convergence. In this paper, We present a series of improvements program,which include improveing the strategy of selection and elimination and the new design of operator. Simulation results have shown that with the improvement program, the diversity of planning results significantly improved.