Optimization of Non-traditional Machining Processes: Application of a Simple Optimization Algorithm

Abstract

Non-traditional machining has become a popular choice for machining of hard and difficult-to-machine materials for generating complex profiles with high dimensional accuracy and surface integrity. In order to improve the performance of the processes, key machining parameters need to be optimized as the costs involved in these processes are comparably high. In this paper, four non-traditional machining processes are considered to optimize using a recently developed metaheuristic technique known as the simple optimization technique (SOPT). The performance of SOPT is compared with the performance of some well-known metaheuristic techniques used to solve the same problems. It is observed that SOPT performs in a superior manner in all these problems as compared to other metaheuristic algorithms. Being one of the simplest algorithms and ability to reach near-optimal solutions for complex, constrained optimization problems makes this algorithm a good choice for solving real-world optimization problems.