期刊文献+

混合流水车间负荷平衡调度的免疫算法 被引量:7

An immune algorithm for load balancing of hybrid flow shop scheduling
在线阅读 下载PDF
导出
摘要 在混合流水车间调度中,优化目标通常是makespan最小化,会使同一阶段同类机器设备的加工时间出现很大的差异,这对机器的管理、维护和折旧都不利,对操作人员也很不公平.因此建立了机器负荷平衡的数学模型,对问题的求解设计了一种新颖的免疫调度算法,可以将同阶段机器负荷控制在给定的差别范围内.对有无负荷平衡的两种调度结果进行了比较,并通过数值计算验证了该算法. In hybrid flow shop scheduling, generally, the object of optimization is to get the makespan minimized, not considering differences of the same facilities' processing time during the same stage, which is disadvantageous for machines' maintenance and management and is unfair for manipulators. This paper formulates a load balancing model, sets forth a new immune algorithm for solving it. and compares two results for subjection and non-subjection to load balancing, and the computed result shows that the algorithm is an effective tool for such problems.
出处 《西安电子科技大学学报》 EI CAS CSCD 北大核心 2006年第4期655-659,共5页 Journal of Xidian University
基金 国家科技部资助项目(2002E0691036)
关键词 混合流水车间 生产调度 负荷平衡 免疫算法 hybrid flow shop production scheduling load balancing immune algorithm
  • 相关文献

参考文献11

  • 1Gupta J N D. Two-stage Hybrid Flow Shop Scheduling Problem[J]. Journal of Operational Research Society, 1988, 34(4) : 358-364.
  • 2Tang L X, Liu J Y. A Review of Planning & Scheduling Systems and Methods for Integrated Steel Production[J].Europear Journal of Operational ResearSch, 2001, 133(1):1-18.
  • 3Wang W, Wang D W. Single Part JIT Production Scheduling of Manufacturing Enterprise Based on Fuzzy Delivery Time Limit[J]. Journal of System Engineering. 1998, (2) : 63-69.
  • 4Brash S A, Loo L L. Heuristic for Scheduling in a Flow Shop with Multiple Processors[J]. European Journal of Operational Research. 1999. 113(1): 113-122.
  • 5Ren S J. Modern Manufacturing System Analysis and Design[M]. Beijing: Science Press, 1999.
  • 6Tang L X. Theory and Application of Production Batch Scheduling Under CMIS[M]. Beijing: Science Press, 1999.
  • 7Xuan G N, Cheng R W. Genetic Algorithm and Engineering Design[M]. Beijing: Science Press, 2000.
  • 8唐立新,吴亚萍.混合流水车间调度的遗传下降算法[J].自动化学报,2002,28(4):637-641. 被引量:22
  • 9林中伟,谢强,丁秋林,宁福臣.基于遗传算法的多级有限能力生产计划[J].小型微型计算机系统,2003,24(1):123-126. 被引量:5
  • 10左兴权,李士勇.一类自适应免疫进化算法[J].控制与决策,2004,19(3):252-256. 被引量:18

二级参考文献15

  • 1[1]Tang L X, Liu J Y, Rong A Y, Yang Z H. A review of planning & scheduling systems and methods for integrated steel production. European Journal of Operational Research, 2001, 133(1): 1~18
  • 2[2]Gupta J N D. Two-stage hybrid flowshop scheduling problem. Journal of Operational Research Society, 1988, 34(4):359~364
  • 3[3]Linn R, Zhang W. Hybrid flow shop scheduling: A survey. Computers and Industrial Engineering, 1999, 37(1): 57~61
  • 4[4]Rajendran C, Chaudhuri D. A multi-stage parallel-processor flowshop problem with minimum flowtime. European Journal of Operational Research, 1992, 57(1): 111~122
  • 5[5]Brah S A, Loo L L. Heuristics for scheduling in a flow shop with multiple processors. European Journal of Operational Research, 1999, 113(1): 113~122
  • 6[6]Santos D L, Hunsucker J L, Deal D E. Global lower bounds for flow shops with multiple processors. European Journal of Operational Research, 1995, 80(1): 112~120
  • 7[7]Glass C A, Potts C N. A comparison of local search methods for flow shop scheduling. Annals of Operations Research, 1996, 63: 489~509
  • 8[1]Ren Shoujun. Modern manufacturing system analysis and design [M]. Beijing: Science Press, 1999
  • 9[2]Wang, D W. Earliness/tardiness production planning approaches for manufacturing systems [J]. Computers &Ind. Eng, 1995,28:425~436
  • 10[3]Wang, D W. , Fang, S C. A semi-infinite programming model for earliness/tardiness production planning with a genetic algorithm [J]. Computers Mathematics with Applications, 1996,31: 31~36

共引文献42

同被引文献66

引证文献7

二级引证文献26

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部