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超尺寸物品装箱问题及其算法 被引量:4

BIN PACKING PROBLEM WITH OVER SIZED ITEMS AND A NEW ALGORITHM
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摘要 本文探讨一类新的装箱问题—超尺寸物品装箱问题.针对实际解决该问题的两步法,我们提出了一个评价效率更高的目标函数,证明了在此目标函数下两步法的渐近最坏比不小于2,并给出了渐近最坏比与拆分次数的关系.最后本文提出了一种不同于两步法的新的在线算法MA,证明了在新目标函数下其渐近最坏比不超过 . A new variation of bin packing, the bin packing problem with over sized items, is discussed in this paper. A two-step procedure, which is practically adopted, is analyzed. We use a more effective objective function to evaluate the new problem, then find that the asymptotic worst case performance ratio of the algorithm TOPT(the optimal two-step algorithm) is 2 if there is no Iimit on the size of items, and the relationship between the asymptotic worst case performance ratio and the spilt time. Finally a new on-line algorithm, with the asymptotic worst case performance ratio not larger than under the new objective function, is presented.
作者 邢文训 陈锋
出处 《应用数学学报》 CSCD 北大核心 2002年第1期8-14,共7页 Acta Mathematicae Applicatae Sinica
基金 清华大学基础基金(JC2001019号)部分资助.
关键词 超尺寸物品装箱问题 启发式算法 最坏情形分析 Bin packing problem with over-sized items, heuristics, worst-case analysis
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参考文献4

  • 1[1]Garey M R, Johnson D S. Computers and Intractability: A Guide to the Theory of NP-Complete-ness. San Francisco: Freeman, 1979
  • 2[2]Friesen D K, Langston M A. Variable Sized Bin Packing. SIAM J. Comput., 1986, 15:222-230
  • 3[3]Csirik J. An On-Line Algorithm for Variable-Sized Bin Packing. Acta Informatica, 1989, 26:697-709
  • 4[4]Murgolo F D. An Efficient Approximation Scheme for Variable-Sized Bin Packing. SIAM J. Comput,,1987, 16:149-161

同被引文献30

  • 1李大可,杨花娥.利用遗传算法求解装箱问题[J].延安大学学报(自然科学版),2005,24(4):32-33. 被引量:3
  • 2程浩,刘心报,刘林,经怀明.一种用遗传算法求解装箱问题的新编码方法[J].合肥工业大学学报(自然科学版),2006,29(2):144-146. 被引量:7
  • 3陈小庆,侯中喜,郭良民,罗文彩.基于NSGA-II的改进多目标遗传算法[J].计算机应用,2006,26(10):2453-2456. 被引量:43
  • 4汤岩,胡俊敏,武立丰.一种改进的二维装箱问题的混合遗传算法[J].集美大学学报(自然科学版),2006,11(3):258-262. 被引量:3
  • 5Coffman E G,Garey M R,Johnson D S. Approximation algorithms for bin packing: a surver[ C ]//In: Hochbaum, D. , ed. Approximation Algorithms for NP-Hard Problems. Boston : PWS Publishing, 1996:46 - 93.
  • 6Coffrnan E G, Galarnbos G, Martello S, et al. Bin pakcing approximation algorithms: Combinatorial analysis [ C ]// In: D.-Z. Du and P. M. Pardalos, Editors, Handbook of Combinatorial Optirnization,Kluwer Academic Publishers, 1998 : 151 - 208.
  • 7[3]Michale.演化程序-遗传算法和数据编码的结合[M].北京:科学出版社,2000.
  • 8AVRIEL M, PENN M, SHPIRER N, et al. Stowage planning for container ships to reduce the number of shifts [J]. Annals of Operations Research, 1998, 76:55-71.
  • 9WILSON I, ROACH P. Principles combinatorial optimization applied to container-ship stowage planning [J]. Journal of Heuristics, 1999(5) :403-418.
  • 10AVRIEL M, PENN M, SHPIRER N. Container ship stowage problem: complexity and connection to the coloring of circle graphs [J]. Discrete Applied Mathematics, 2000, 103:271-279.

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