ABSTRACT
Machining parameters optimization has significant practical importance, particularly for operating CNC machines. The machining variables are discrete in the case of a conventional machine tool and continuous in the case of a CNC machine tool. Because the cost of machining on these machines is sensitive to the machining variables, the optimum values must be determined before a part is put into production. Both the production cost and time are considered as objective functions. Production rate is considered to be an objective function. Penalty terms corresponding to the constraint violations are added to the objective function and a fitness function is obtained. Fitness function is a constrained optimization problem, therefore penalty terms corresponding to the constraint violation are added to the objective function and a fitness function is obtained. The genetic operations such as reproduction, crossover, and mutation are performed for this problem similar to the turning process problem.
