Study on the Application of Genetic Algorithm for Tool Path Generation
A new method of milling tool path generation for the shortest and least directional change based on a new algorithm similar to the Partially Mapped Crossover method in Genetic Algorithm is presented.
Abstract
This paper presents a new method of milling tool path generation for the shortest and least directional change. In this study a path is regarded as a string of successive passing points distributed on the surfaces of a workpiece to be machined. The problem definition is how to get the optimal path and the solver mechanism is developed based on a new algorithm similar to the Partially Mapped Crossover method in Genetic Algorithm. The experiments have been applied to the tool path generation of a telephone model. The experimental results support the validity and the efficiency of the method developed.