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Hybrid optimization algorithm for production planning of sintered NdFeB molding


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Hybrid optimization algorithm for production planning of sintered NdFeB molding
Liu Yefeng 1Chai Tianyou 23
1.College of Information and Control,Shenyang Institute of Technology,Fushun 113122,China; 2.Research Center of Automation,Northeastern University,Shenyang 110819,China; 3.State Key Laboratory of Integrated Automation for Process Industries,Northeastern University, Shenyang 110819,China
sintered NdFeB production plan genetic algorithm dynamic variation of the random bit string
A multi-objective hybrid integer programming model is proposed to improve the efficiency of NdFeB molding process production.The crossover operator of a genetic algorithm is improved using a hybrid algorithm combining a genetic algorithm and dual simplex algorithm.The mutation operator of the genetic algorithm is improved using 3 parents method(3PM)cross operator and the dynamic variation of the random bit string.A forming production plan is established based on this multi-objective optimization model and the solution method.The simulation results show that,compared with the man-made production plan,the total output of the production plan of this algorithm increases about 500 die,the utilization rate of molding machines improves by 15%,and daily furnace weight increases too.


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Last Update: 2016-12-30