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图形处理中一类 Flow-shop 问题的改进算法

蒋义伟 魏麒

蒋义伟, 魏麒. 图形处理中一类 Flow-shop 问题的改进算法. 自动化学报, 2011, 37(11): 1381-1386. doi: 10.3724/SP.J.1004.2011.01381
引用本文: 蒋义伟, 魏麒. 图形处理中一类 Flow-shop 问题的改进算法. 自动化学报, 2011, 37(11): 1381-1386. doi: 10.3724/SP.J.1004.2011.01381
JIANG Yi-Wei, WEI Qi. An Improved Algorithm for a Hybrid Flow-shop Problem in Graphics Processing. ACTA AUTOMATICA SINICA, 2011, 37(11): 1381-1386. doi: 10.3724/SP.J.1004.2011.01381
Citation: JIANG Yi-Wei, WEI Qi. An Improved Algorithm for a Hybrid Flow-shop Problem in Graphics Processing. ACTA AUTOMATICA SINICA, 2011, 37(11): 1381-1386. doi: 10.3724/SP.J.1004.2011.01381

图形处理中一类 Flow-shop 问题的改进算法

doi: 10.3724/SP.J.1004.2011.01381
详细信息
    通讯作者:

    蒋义伟 浙江理工大学理学院副教授. 2007年获浙江大学数学系博士学位. 主要研究方向为组合优化, 调度理论, 算法设计与分析. E-mail: mathjyw@yahoo.com.cn

An Improved Algorithm for a Hybrid Flow-shop Problem in Graphics Processing

  • 摘要: 考虑图形处理中的一类两台处理器上的Flow-shop调度问题, 目标是极小化最早完工时间. 每个任务包含两道工序, 第一道工序可以在两台处理器中的任何一台上处理, 而第二道则只能在第二台处理器上处理, 且必须在第一道工序完工之后才能进行. 对该问题, 设计了一个改进的多项式时间近似算法, 在绝对性能方面, 该算法的最坏情况界为3/2; 而从实例计算的平均效果方面, 该算法所得的结果比原有的贪婪算法所得的结果要好20% 左右.
  • [1] Wei Q, He Y. A two-stage semi-hybrid flowshop problem in graphics processing. Applied Mathematics —— A Journal of Chinese Universities, 2005, 20(4): 393-400[2] Kouvelis P, Vairaktarakis G. Flowshops with processing flexibility across production stages. IIE Transactions, 1998, 30(8): 735-746[3] Vairaktarakis G, Lee C Y. Analysis of algorithms for two-stage flowshops with multi-processor task flexibility. Naval Research Logistics, 2004, 51(1): 44-59[4] Boudhar M, Meziani N. Two-stage hybrid flow shop with recirculation. International Transactions in Operational Research, 2010, 17(2): 239-255[5] Besbes W, Teghem J, Loukil T. Scheduling hybrid flow shop problem with non-fixed availability constraints. European Journal of Industrial Engineering, 2010, 4(4): 413-433[6] Wang Wan-Liang, Yao Ming-Hai, Wu Yun-Gao, Wu Qi-Di. Hybrid flow-shop scheduling approach based on genetic algorithm. Journal of System Simulation, 2002, 14(7): 863-869(王万良, 姚明海, 吴云高, 吴启迪. 基于遗传算法的混合Flow-shop调度方法. 系统仿真学报, 2002, 14(7): 863-869)[7] Oguz C, Ercan M F. A genetic algorithm hybrid flow-shop scheduling with multiprocessor tasks. Journal of Scheduling, 2005, 8(4): 323-351[8] Zhang Y, Li X P, Wang Q. Hybrid genetic algorithm for permutation flowshop scheduling problems with total flowtime minimization. European Journal of Operational Research, 2009, 196(3): 869-876[9] Zhan Y, Qiu C H, Xue K. A hybrid genetic algorithm for hybrid flow shop scheduling with load balancing. Key Engineering Materials, 2009, 392-394: 250-255[10] Hu Rong, Qian Bin. A hybrid differential evolution algorithm for stochastic flow shop scheduling with limited buffers. Acta Automatica Sinica, 2009, 35(12): 1580-1586(胡蓉, 钱斌. 一种求解随机有限缓冲区流水线调度的混合差分进化算法. 自动化学报, 2009, 35(12): 1580-1586)[11] Gupta J N D, Koulamas C P, Kyparisis G J, Potts C N, Strusevich V A. Scheduling three-operation jobs in a two-machine flow shop to minimize makespan. Annals of Operations Research, 2004, 129(1-4): 171-185[12] Wei Qi, Jiang Yi-Wei. Approximation algorithms for a two-stage hybrid flow shop. Journal of Software, to be published[13] Johnson S M. . Naval Research Logistics Quarterly, 1954, 1(1): 61-68[14] Graham R L. Bounds for certain multiprocessing anomalies. Bell System Technical Journal, 1966, 45(9): 1563-1581
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出版历程
  • 收稿日期:  2011-01-21
  • 修回日期:  2011-06-13
  • 刊出日期:  2011-11-20

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