Abstract: The idea of fuzzy optimization is introduced in the optimization of cold extrusion mold process parameters. An approach of fuzzy optimization of cold extrusion mold process parameters based on genetic algorithm and multiplayer neural network is presented. Firstly, the fuzzy optimization model of cold extrusion mold is introduced. Secondly, the fuzzy optimization strategy using genetic algorithm and multiplayer neural network is discussed, including constructing an approximate model with artificial neural networks and solving the fuzzy optimization model using genetic algorithms. In constructing fitness function, the weight factors are determined by orthogonal numerical experiments. Finally, the optimization results demonstrate the fuzzy optimization method can improve the quality of the cold extrusion mold.

Key words: Orthogonal numerical experiments, Fuzzy optimization, Genetic algorithm, Neural network, Optimization of cold extrusion mold process parameters