To achieve high quality of machining at low cost, optimization of cutting parameters of machining processes are required. In this work process parameters of Water Jet Machining(WJM) are optimized using a meta-heuristic algorithm called simple optimization(SOPT) algorithm. SOPT algorithm incorporated with weighted aggregation and crowding distance approach is used to solve two objective optimization problem. The non-dominated solution set obtained is compared with the set obtained from Non-dominated Sorting Genetic Algorithm(NSGA-II).
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multi-objective optimization,SOPT,NSGA-II,water jet machining,Pareto front