关键词: 遗传算法, BP神经网络, 多目标优化, 算法融合

Abstract:

For the existing problems in traditional more target optimization method such as target weighted value subjectivity big,optimization target only for each target weighted and in solution process optimization of not operation in the each target,this paper has proposed a novelty more target optimization algorithm,and it improved genetic algorithm and BP neural network based on genetic algorithm of BP neural network algorithm. The algorithm combining genetic algorithm with BP neural network algorithm,gives full advantage of global search capability of genetic algorithm and BP algorithm in local search feature,making multi-objective optimization problem can be solved,converging speed and improving accuracy.

Key words: genetic algorithm;BP neural network algorithm;MOP;algorithm convergence