Solving the Dynamic Pickup and Delivery Problem with Soft Time Windows using Tabu Search
碩士 === 中原大學 === 工業工程研究所 === 90 === Recently, the improvement of both telecommunication and network technologies require quick respond toward the vehicle dispatching decision-making. In the past, the studies vehicle routing problems mainly focused on the static problems instead of dynamic problems. H...
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ndltd-TW-090CYCU50300212015-10-13T17:35:00Z http://ndltd.ncl.edu.tw/handle/27242111502255278694 Solving the Dynamic Pickup and Delivery Problem with Soft Time Windows using Tabu Search 應用塔布搜尋法於含軟性時窗限制之動態需求撿取配送途程規劃問題 Pu-Yun Lu 盧步雲 碩士 中原大學 工業工程研究所 90 Recently, the improvement of both telecommunication and network technologies require quick respond toward the vehicle dispatching decision-making. In the past, the studies vehicle routing problems mainly focused on the static problems instead of dynamic problems. However, the new trend has moved the focal points from the static to the dynamic arena. Some profound studies using general heuristic algorithms, such Tabu search in solving dynamic vehicle problems (DVRP). This study first argues that although the approach can produce satisfactory results most of time, the general heuristics, by natural, cannot respond to the fast change environment well. Therefore, this study proposes a stepwise approach including simply heuristics, such Insertion algorithm, K-opt algorithm and Best Fit algorithm, and general heuristic, e.g. Tabu search. In the stepwise approach, the simple heuristics react the change quickly while the general heuristic is responsible for improving the solution when needed. The momentum value caused by the event change will determine when is the time Tabu search should be triggered. The standard problem form Solomon will be used for illustration. Fu-Kwun Wang Timon Chih-Ting 王福琨 杜志挺 2002 學位論文 ; thesis 144 zh-TW |
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碩士 === 中原大學 === 工業工程研究所 === 90 === Recently, the improvement of both telecommunication and network technologies require quick respond toward the vehicle dispatching decision-making. In the past, the studies vehicle routing problems mainly focused on the static problems instead of dynamic problems. However, the new trend has moved the focal points from the static to the dynamic arena. Some profound studies using general heuristic algorithms, such Tabu search in solving dynamic vehicle problems (DVRP). This study first argues that although the approach can produce satisfactory results most of time, the general heuristics, by natural, cannot respond to the fast change environment well. Therefore, this study proposes a stepwise approach including simply heuristics, such Insertion algorithm, K-opt algorithm and Best Fit algorithm, and general heuristic, e.g. Tabu search. In the stepwise approach, the simple heuristics react the change quickly while the general heuristic is responsible for improving the solution when needed. The momentum value caused by the event change will determine when is the time Tabu search should be triggered. The standard problem form Solomon will be used for illustration.
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author2 |
Fu-Kwun Wang |
author_facet |
Fu-Kwun Wang Pu-Yun Lu 盧步雲 |
author |
Pu-Yun Lu 盧步雲 |
spellingShingle |
Pu-Yun Lu 盧步雲 Solving the Dynamic Pickup and Delivery Problem with Soft Time Windows using Tabu Search |
author_sort |
Pu-Yun Lu |
title |
Solving the Dynamic Pickup and Delivery Problem with Soft Time Windows using Tabu Search |
title_short |
Solving the Dynamic Pickup and Delivery Problem with Soft Time Windows using Tabu Search |
title_full |
Solving the Dynamic Pickup and Delivery Problem with Soft Time Windows using Tabu Search |
title_fullStr |
Solving the Dynamic Pickup and Delivery Problem with Soft Time Windows using Tabu Search |
title_full_unstemmed |
Solving the Dynamic Pickup and Delivery Problem with Soft Time Windows using Tabu Search |
title_sort |
solving the dynamic pickup and delivery problem with soft time windows using tabu search |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/27242111502255278694 |
work_keys_str_mv |
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