An overview of GA technique for surface roughness optimization in milling process

Abstract

Optimization of parameters in machining is a nonlinear model with constraints, so it is difficult to be conducted using conventional approaches. As alternative, non conventional approaches become useful approaches to conduct machining parameter optimization problem. Genetic Algorithm (GA) is one of the well known techniques classified as non conventional approaches with intelligent in human behavior that is mostly applied to ensure efficient and just selection of the optimum cutting conditions for parameters in machining process. This paper outlines an understanding of how GA system operates in order to optimize the surface roughness performance measure in milling process. Example of works that applied GA technique for machining optimizing problem for surface roughness is also given.