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多维背包问题的禁忌搜索求解 被引量:12

A Tabu Search Algorithm for the Multidimensional Knapsack Problems
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摘要 借鉴认知心理学有关记忆系统的表述,在禁忌搜索算法中引入长时记忆,构造了基于双禁忌表的禁忌搜索算法。多维0-1背包问题的仿真实验表明,该算法是可行的、有效的。 Inspired by the human memory system of the cognitive psychology, the concept of long term memory is introduced to Tabu Search and a Tabu Search algorithm based on double tabu list for the multidimensional 0-1 knapsack problems is proposed. The computational experiments show that the proposed algorithm is feasible and effective.
出处 《计算机科学》 CSCD 北大核心 2006年第9期169-172,共4页 Computer Science
基金 教育部重点课题资助(No.104262)。
关键词 禁忌搜索 双禁忌表 多维0-1背包问题 Tabu search, Double tabu list, Multidimensional 0-1 knapsack problems
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参考文献22

  • 1Shih W.A Branch and Bound Method for the Multiconstraint Zero-One Knapsack Problem.Journal of the Operational Research Society,1979,30(4):369~378
  • 2Gavish B,Pirkul H.Efficient Algorithms for Solving Multiconstraint Zero-One Knapsack Problems to Optimality,Mathematical Programming,1985,31(1):78~105
  • 3Cabot A V.An Enumeration algorithm for Knapsack Problems.Operations Research,1970,18(2):306~311
  • 4李肯立,李庆华,戴光明,周炎涛.背包问题的一种自适应算法[J].计算机研究与发展,2004,41(7):1292-1297. 被引量:15
  • 5Bertsimas D,Demir R.An Approximate Dynamic Programming Approach to Multidimensional Knapsack Problems.Management Science,2002,48(4):550~565
  • 6Dominique F,Ider T.Global optimization and multi knapsack:A percolation algorithm.European Journal of Operational Research,2004,154 (1):46~56
  • 7Chu P C,Beasley J E.A Genetic Algorithm for the Multidimensional Knapsack Problem.Journal of Heuristics,1998,4(1):63~86
  • 8Ye Jun,Liu Xiande,Han Lu.Evolutionary Game Algorithm for Multiple Knapsack Problem.In:Proc.of the IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03),2003.424~427
  • 9Kosuke K,Masatoshi S.Genetic Algorithms With Decomposition Procedures for Multidimensional 0-1 Knapsack Problems With Block Angular Structures,IEEE TRANSACTIONS ON SYSTEMS,MAN,AND CYBERNETICS-PART B:CYBERNETICS,2003,33(3):410~419
  • 10Parra-Hernandez R,Dimopoulos N.On the performance of the ant colony system for solving the multidimensional knapsack problem.In:2003 IEEE Pacific Rim Conference on Communications.Computers and Signal Processing (PACRIM '03),Victoria,Canada,2003.338~341

二级参考文献56

  • 1刘光远,邱玉辉,虞厥邦.基于稳健误差估计器的快速BP算法[J].计算机科学,1997,24(2):66-68. 被引量:5
  • 2[1]F Glover, M Laguna. Tabu Search. Boston: Kluwer Academic Publishers, 1997
  • 3[2]Jacques A Ferland, I Soumia, L Alain .et al.. Scheduling using tabu search with intensification and diversification. Computer & Operations Research, 2001, 28(11): 1075~1092
  • 4[3]R Chelouah, P Siarry. Tabu search applied to global optimization. European Journal of Operation Research, 2000, 123(2): 256~270
  • 5[4]G Michel, L Gilbert, S Frédéric. A tabu search heuristic for the undirected selective traveling salesman problem. European Journal of Operation Research, 1998, 106(2-3): 539~545
  • 6[5]L Guangyun, H Yi, Q Yuhi .et al.. Research on influence of solving quality based on different initializing solution algorithm in tabu search. In: Proc of Int'l Conf on Communication, Circuits and Systems and West Sino Exposition. Chengdu: IEEE Press, 2002. 1141~1145
  • 7[10]Gerhard R. TSPLIB. 2001. http://www.iwr.uni-heidelberg.de/groups/comopt/software/TSPLIB95/
  • 8[11]I Kubn Altinel, Necati Aras, B John Oommen. Fast efficient and accurate solutions to the Hamiltonian path problem using neural approaches. Computers & Operations Research, 2000, 27(5): 461~494
  • 9[1]Dasgupta D, Forrest S. Artificial immune systems in industrial applications[C]. Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials (IPMM '99), Honolulu, 1999, 1: 257-267.
  • 10[3]Gasper A, Collard P. From GAs to artificial immune systems: improving adaptation in time dependent optimization[A]. Proceedings of the Congress on Evolutionary Computation (CEC 99)[C], Washington: IEEE press, 1999: 1859-1866.

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