Abstract: To solve the complex optimization problem of power electronic distribution network planning（PEDNP）,a multiple objective genetic algorithm with multiple-strategies improvement is proposed in this paper. First,the combination of genetic algorithm and distribution network planning is carried out, and the chromosome group coding method of genetic algorithm in PEDNP is studied. Second,the multiple-strategies improvement of genetic algorithm is made, including the improvement of the population selection,the crossover and variation operator,and the adaptive genetic operator. Third,the search ability of genetic algorithm is improved by the population repair,so that the decision variables of chromosome can satisfy the constraint requirements while ensure the heuristic evolution of population diversity into the optimal solution of planning problems. Finally, through the Schaffer function and the Griewank function,the performance of the modified genetic algorithm with proposed multi-strategy improvement is tested,and its components, search characteristics and search optimization process are analyzed and discussed respectively.The obtained results show that the modified genetic algorithm with multi-strategy improvement has great advantages in search accuracy and calculation efficiency,and is of important value for the planning and optimization in PEDNP.