Application of Genetic Algorithm Optimizing Neural Networks in Machining a Group of Holes

When the holes to be machined are mass produce with numerical control machine tool, the empty routing will numerous and the process is inefficient. The machining routing in quick process was proposed in this paper and the optimizing mathematical models for process routing in machining a group of holes was established. A new method was presented by combined improved genetic algorithm (GA) with Elman neural networks in routing optimization in order to enhance the process efficiency, the structure and learning algorithm of neural networks was introduced and GA operation steps was also presented, the simulations indicates this new method was feasible and effective.