计算机应用研究2017，Vol.34Issue(7)：1980-1985,6.DOI:10.3969/j.issn.1001-3695.2017.07.013
考虑多目标的柔性工艺与调度集成优化算法
Integrated optimization algorithm of flexible process planning and shop scheduling with consideration of multi-objectives
摘要
Abstract
Aiming at the problem of the integration and optimization of process planning and scheduling,in considering flexibility of the manufacturing procedure and order and machine of the technics,with the greatest completed time and the total processing cost and total tardiness time as the optimization object,modeled the integrated multi-objective flexible process and scheduling,this paper proposed an improved artificial bee colony algorithm for multi-objective flexible process and workshop scheduling integrated optimization strategy,and put forward neighborhood mutation and global crossover operation to updates the population.Introducing Pareto method,based on improving adaptation degree evaluation,greedy criterion,the constructed and saved of the Pareto optimal solution set and solution diversity maintenance,it proposed a method of multi-objective artificial bee colony algorithm based on Pareto.Finally,using the basic artificial bee colony algorithm and improved artificial bee colony algorithm of six workpieces,five machines flexible process and Job-Shop scheduling problem of integration optimization verify the effectiveness of the improved algorithm.关键词
人工蜂群算法/柔性工艺/车间调度/集成Key words
artificial bee colony/flexible process planning/Job-Shop scheduling/integrated分类
信息技术与安全科学引用本文复制引用
宋栓军,杨佩莉,石雯丽..考虑多目标的柔性工艺与调度集成优化算法[J].计算机应用研究,2017,34(7):1980-1985,6.基金项目
陕西省教育厅科研基金资助项目(15JK1311) （15JK1311）
西安工程大学博士科研启动基金资助项目(BS1301) （BS1301）
西安工程大学研究生创新基金资助项目(CX201628) （CX201628）
