Optimization of time, cost and surface roughness in grinding process using a robust multi-objective dragonfly algorithm

摘要: Grinding is one of the most commonly used operations in industry. Optimization grinding process can significantly improve product quality and minimize operational costs production time. Due to nonlinearity complexity, optimization challenging tasks field mechanical engineering. This paper aims optimize considering a tri-objective mathematical model simultaneous final surface quality, cost total To obtain non-dominated Pareto optimal solutions, novel meta-heuristic algorithm named multi-objective dragonfly utilized. Besides, an efficient constraint handling technique implemented handle complex constraints. Furthermore, experimental case study solved using proposed results are compared NSGA-II literature. The revealed that able find solutions make significant improvement over existing approaches.