Future prospects of turning processes optimization using metaheuristics methods

In today's industries, optimization of turning processes is one of vital problems which aim to increase competitiveness and product quality. In fact, the decision of optimal machining parameters is arbitrary and complex. Traditionally, the selections is heavily relies on trial and error methods which is tedious and unreliable. To overcome these problems, metaheuristics methods has been proposed over the last decade. The results on several parameters such as cutting speed, depth of cut and feed rate indicate more effective and efficient way in comparison to traditional methods. This paper presents current development and future prospects due to metaheuristics techniques for optimizing the parameters of turning processes.