GA-Hopfield Network for Transportation Problem

Based on the optimization of transportation problem of Wulongquan Mine, genetic algorithm and Hopfield network are integrated for solving transportation problems of stripping rock. The optimization methods of genetic algorithm in artificial neural network weight, structure and algorithm are introduced; and GA-Hopfield network method is established for solving transportation problems. In GA-Hopfield network method, global property of genetic algorithm and the parallelisms of artificial neural networks were combined, so the method remains the global stochastically searching ability of genetic algorithm and the robustness and self-learning ability of neural network The application of this method to the optimization of transportation problem of Wulongquan Mine has the advantages of calculation stabilization, prompt convergence and preferable precision. GA-Hopfield network method offers a research method and direction for solving the multi-objective transportation problem.