Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery
In this paper, we present exact methods for solving the Time Dependent Minimum Tour Duration Problem (TD-MTDP) and the Time Dependent Delivery Man Problem (TD-DMP). Both methods are based on a Dynamic Discretization Discovery (DDD) approach for solving the Time Dependent Traveling Salesman Problem w...
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2022
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oai:localhost:PNK-58772022-08-17T05:54:54Z Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery Duc Minh, Vu Mike, Hewitt Duc D.Vuc Tour Duration Problem Dynamic Discretization Discovery In this paper, we present exact methods for solving the Time Dependent Minimum Tour Duration Problem (TD-MTDP) and the Time Dependent Delivery Man Problem (TD-DMP). Both methods are based on a Dynamic Discretization Discovery (DDD) approach for solving the Time Dependent Traveling Salesman Problem with Time Windows (TD-TSPTW). Unlike the TD-TSPTW, these problems involve objective functions that depend in part on the time at which the vehicle departs the depot. As such, optimizing these problems adds a scheduling dimension to the problem. We present multiple enhancements to the DDD method, including enabling it to dynamically determine which waiting opportunities at the depot to model. With an extensive computational study we demonstrate that the resulting methods outperform all known methods for both the TD-MTDP and TD-DMP on instances taken from the literature. 2022-07-13T01:59:47Z 2022-07-13T01:59:47Z 2022 Bài trích https://www.sciencedirect.com/science/article/abs/pii/S0377221722000674?via%3Dihub https://dlib.phenikaa-uni.edu.vn/handle/PNK/5877 https://doi.org/10.1016/j.ejor.2022.01.029 en Elsevier |
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Tour Duration Problem Dynamic Discretization Discovery |
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Tour Duration Problem Dynamic Discretization Discovery Duc Minh, Vu Mike, Hewitt Duc D.Vuc Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery |
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In this paper, we present exact methods for solving the Time Dependent Minimum Tour Duration Problem (TD-MTDP) and the Time Dependent Delivery Man Problem (TD-DMP). Both methods are based on a Dynamic Discretization Discovery (DDD) approach for solving the Time Dependent Traveling Salesman Problem with Time Windows (TD-TSPTW). Unlike the TD-TSPTW, these problems involve objective functions that depend in part on the time at which the vehicle departs the depot. As such, optimizing these problems adds a scheduling dimension to the problem. We present multiple enhancements to the DDD method, including enabling it to dynamically determine which waiting opportunities at the depot to model. With an extensive computational study we demonstrate that the resulting methods outperform all known methods for both the TD-MTDP and TD-DMP on instances taken from the literature. |
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Bài trích |
author |
Duc Minh, Vu Mike, Hewitt Duc D.Vuc |
author_facet |
Duc Minh, Vu Mike, Hewitt Duc D.Vuc |
author_sort |
Duc Minh, Vu |
title |
Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery |
title_short |
Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery |
title_full |
Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery |
title_fullStr |
Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery |
title_full_unstemmed |
Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery |
title_sort |
solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery |
publisher |
Elsevier |
publishDate |
2022 |
url |
https://www.sciencedirect.com/science/article/abs/pii/S0377221722000674?via%3Dihub https://dlib.phenikaa-uni.edu.vn/handle/PNK/5877 https://doi.org/10.1016/j.ejor.2022.01.029 |
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1751856285670703104 |
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8.889492 |