南京理工大学学报（自然科学版）2016，Vol.40Issue(6)：679-686,8.DOI:10.14177/j.cnki.32-1397n.2016.40.06.007
烧结钕铁硼成型生产计划编制的混合优化算法
Hybrid optimization algorithm for production planning of sintered NdFeB molding
摘要
Abstract
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 ( 3 PM ) cross operator and the dynamic variation of the random bit string. A forming production plan is established based on this <br> 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.关键词
烧结钕铁硼/生产计划/遗传算法/随机动态位串变异Key words
sintered NdFeB/production plan/genetic algorithm/dynamic variation of the random bit string分类
信息技术与安全科学引用本文复制引用
刘业峰,柴天佑..烧结钕铁硼成型生产计划编制的混合优化算法[J].南京理工大学学报（自然科学版）,2016,40(6):679-686,8.基金项目
国家自然科学基金(61603262 （）
61403071) （）
沈阳工学院博士启动基金(BS201503) （BS201503）
