Efficiency optimization of injection molding process parameters based on neural network and variants of canonical genetic algorithms

A correlation model between the forming quality of plastic part and injection molding parameters was set up using radial basis function neural network. The variants of canonical genetic algorithms were applied to optimize the mold filling and holding pressure parameters.The method proved effective and efficient.