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一类货运车辆调度问题的混合禁忌搜索算法 被引量:5

Hybrid Tabu Search Algorithm for a Class of Freight Vehicle Dispatching Problem
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摘要 研究了一类货运车辆调度问题 :带时间窗口车辆装卸货问题 .首先给出了该问题的数学描述 ,通过引入快速局部搜索算法来加快禁忌搜索速度 ,提出了一种求解该问题的混合禁忌搜索算法 ,可以大大减少算法的运行时间而不影响解的质量 ,最后利用两个具有现实规模和复杂度的实例来测试 .结果表明 :本文提出的混合禁忌搜索算法是求解该类货运车辆调度问题的有效、快速算法 . A class of freight vehicle dispatching problem, P DP TW (pickup and delivery problem with time windows), is studied in this paper. Th e mathematical description of this problem is firstly given and then a hybrid ta bu search algorithm, employing FLS (fast local search) to speed the search, is p roposed. The hybrid algorithm can reduce the computing time heavily meanwhile ha ving no influence on the solution quality. Finally, two cases with the reality s cale and complexity are used to evaluate the hybrid tabu search algorithm. The r esults indicate that this algorithm is effective and quick enough to solve such freight vehicle dispatching problems.
出处 《信息与控制》 CSCD 北大核心 2004年第6期724-728,共5页 Information and Control
基金 国家自然科学基金资助项目 (60 2 740 13 )
关键词 带时间窗口装卸货问题 禁忌搜索 快速局部搜索 NP-HARD问题 PDPTW tabu search fast local search NP-hard prob lem
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参考文献5

  • 1Desrosiers J, Dumas Y, Solomon M M. A dynamic programming solution of the large-scale single-vehicle dial-a-ride problem with time windows[J]. American Journal of Mathematical and Management Sciences, 1986, 6(3~4): 301~325.
  • 2Dumas Y, Desrosiers J, Soumis F. The pickup and delivery problem with time windows[J]. European Journal of Operational Research, 1991, 54(1): 7-22.
  • 3Li H, Lim A. A metaheuristic for the pickup and delivery problem with time windows[A]. Proceedings of the 13th International Conference on Tools with Artificial Intelligence[C]. Dallas: IEEE Computer Society, 2001.160~167.
  • 4William P, Nanry J, Wesley B. Solving the pickup and delivery problem with time windows using reactive tabu search[J]. Transportation Research:Part B, 2000, 34(2):107-121.
  • 5Christos V, Edward T. Guided local search and its application to the traveling salesman problem[J]. European Journal of Operational Research, 1999,113(2): 469-499.

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