An Overview of PSO in Optimization of Machining Parameters

In the current trends of optimizing machining process parameters, various evolutionary techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO) and Artificial Bee Colony algorithm (ABC) have been used. This paper gives an overview of PSO techniques to optimize machining process parameter of both traditional and modern machining. Machining process parameters such as cutting speed, depth of cut and radial rake angle are mostly considered by researchers in order to minimize or maximize machining performances. From the review, the most machining process considered in PSO was multi-pass turning while the most considered machining performance was production costs Rajesh A S | Dr. M S Prabuswamy"An Overview of PSO in Optimization of Machining Parameters" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd8383.pdf http://www.ijtsrd.com/engineering/mechanical-engineering/8383/an-overview-of-pso-in-optimization-of-machining-parameters/rajesh-a-s