Research on Optimization of Manufacturing Resource Combination Based on NSGA-Ⅱ Algorithm
In order to solve the problem of resource combination optimization in the manufacturing process of customized products,a manufacturing resource combination optimization model based on manufacturing demand was established,and the combinatorial optimization of manufacturing resources was described as a multi-objective optimization problem.Three optimization objectives of total machining time,total machining cost and total machining energy consumption were proposed,and the mathematical model was established and solved by NSGA-Ⅱ genetic algorithm.The calculation results show that the multi-objective optimiza-tion algorithm achieves the optimal balance of time,cost and energy consumption compared with the tradi-tional scheme based on the single decision principle.Moreover,the results of MOPSO algorithm are com-pared and analyzed,and it is concluded that NSGA-Ⅱ algorithm has better distribution and optimization effect on the objective function.
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