Application of Genetic Algorithm in the Study of Semantic Modeling Design of CNC Machine Tools

Because of the outstanding advantages of genetic algorithms in solving optimization problems of engineering design, in this paper, using genetic algorithm combined with Kansei Engineering as a optimal design method for product’s semantics modeling design, and using real-coded way to characterize shape characteristics of CNC machine tools, comprehensive accounted of user’s semantic needs and color Mido, then, established the fitness function, combined with the key components to complete the design. By case analysis shows that the method is feasible, and lays a foundation for intelligent design of CNC machine tools.