Research on Application of BP Neural Network Based on Genetic Algorithm in Multi-objective Optimization

Multi-objective optimization orientates from design, modeling and programming of complicate systems including industrial manufacture, budget, network communication and road layout. In this paper, the two aspects of artificial intelligence, genetic algorithm and artificial neural network were resolved by analyzing the shortcomings of BP neural network, the key technologies and algorithm of BP neural network is conducted, and an improved method is proposed. We try to combine the two technologies were combined and applied into the solving process of multi-objective optimization.