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基于遗传算法的可重入钢管生产优化调度
引用本文:陈晓慧,张启忠,易树平,段鹰,赖志柱. 基于遗传算法的可重入钢管生产优化调度[J]. 北京科技大学学报, 2009, 31(8)
作者姓名:陈晓慧  张启忠  易树平  段鹰  赖志柱
作者单位:1. 重庆大学机械传动国家重点实验室,重庆,400030;重庆大学工业工程研究所,重庆,400030
2. 重庆大学工业工程研究所,重庆,400030
3. 贵州省毕节学院数学系,毕节,551700
基金项目:国家自然科学基金资助项目(No.70871127);;重庆市科技攻关计划资助项目(No.CSTC2008AB3032);;重庆大学“211”工程三期创新人才培养计划资助项目(No.S-09107)
摘    要:在可重入冷拔无缝钢管生产的计划和调度中,根据四个条件对工件进行组批,通过规则假设把组批后的批钢管看作单个加工工件,建立以最后完工时间、交货期满意度和机器总负荷为目标的多目标组批排序优化模型,设定其约束条件,采用基于Pareto的混合遗传算法对模型进行优化求解.通过算例证明该模型的有效性和合理性.

关 键 词:钢管  可重入生产  混合遗传算法  优化调度  

Optimal scheduling of steel tube re-entrant lines based on a genetic algorithm
CHEN Xiao-hui,ZHANG Qi-zhong,YI Shu-ping,DUAN Ying,LAI Zhi-zhu. Optimal scheduling of steel tube re-entrant lines based on a genetic algorithm[J]. Journal of University of Science and Technology Beijing, 2009, 31(8)
Authors:CHEN Xiao-hui  ZHANG Qi-zhong  YI Shu-ping  DUAN Ying  LAI Zhi-zhu
Abstract:In order to make planning and scheduling for cold-drawn seamless steel tube re-entrant lines,workpieces were grouped together according to four conditions,then the grouped steel tubes were taken as one workpiece through the assumption of conditions. The model of multi-objective order-grouping scheduling optimization was studied,where the final completion time,the delivery satisfaction and the total load of machine were concerned. In addition,the constraint conditions were put forward. The Pareto-based hybri...
Keywords:steel tube  re-entrant lines  hybrid genetic algorithm  optimization scheduling  
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