Pickup and delivery problem with time windows: Algorithms and test case generation
In the pickup and delivery problem with time windows (PDPTW), vehicles have to transport loads from origins to destinations respecting capacity and time constraints. In this paper, we present a two-phase method to solve the PDPTW. In the first phase, we apply a novel construction heuristics to gener...
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sg-smu-ink.sis_research-21182017-01-04T03:05:01Z Pickup and delivery problem with time windows: Algorithms and test case generation LAU, Hoong Chuin LIANG, Zhe In the pickup and delivery problem with time windows (PDPTW), vehicles have to transport loads from origins to destinations respecting capacity and time constraints. In this paper, we present a two-phase method to solve the PDPTW. In the first phase, we apply a novel construction heuristics to generate an initial solution. In the second phase, a tabu search method is proposed to improve the solution. Another contribution of this paper is a strategy to generate good problem instances and benchmarking solutions for PDPTW, based on Solomon's benchmark test cases for VRPTW. Experimental results show that our approach yields very good solutions when compared with the benchmarking solutions. 2001-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1119 info:doi/10.1109/ICTAI.2001.974481 https://ink.library.smu.edu.sg/context/sis_research/article/2118/viewcontent/ICTAI2001.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Pickup and delivery problem vehicle routing problem tabu search test case generation Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering |
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Pickup and delivery problem vehicle routing problem tabu search test case generation Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering LAU, Hoong Chuin LIANG, Zhe Pickup and delivery problem with time windows: Algorithms and test case generation |
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In the pickup and delivery problem with time windows (PDPTW), vehicles have to transport loads from origins to destinations respecting capacity and time constraints. In this paper, we present a two-phase method to solve the PDPTW. In the first phase, we apply a novel construction heuristics to generate an initial solution. In the second phase, a tabu search method is proposed to improve the solution. Another contribution of this paper is a strategy to generate good problem instances and benchmarking solutions for PDPTW, based on Solomon's benchmark test cases for VRPTW. Experimental results show that our approach yields very good solutions when compared with the benchmarking solutions. |
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LAU, Hoong Chuin LIANG, Zhe |
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LAU, Hoong Chuin LIANG, Zhe |
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LAU, Hoong Chuin |
title |
Pickup and delivery problem with time windows: Algorithms and test case generation |
title_short |
Pickup and delivery problem with time windows: Algorithms and test case generation |
title_full |
Pickup and delivery problem with time windows: Algorithms and test case generation |
title_fullStr |
Pickup and delivery problem with time windows: Algorithms and test case generation |
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Pickup and delivery problem with time windows: Algorithms and test case generation |
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pickup and delivery problem with time windows: algorithms and test case generation |
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Institutional Knowledge at Singapore Management University |
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2001 |
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https://ink.library.smu.edu.sg/sis_research/1119 https://ink.library.smu.edu.sg/context/sis_research/article/2118/viewcontent/ICTAI2001.pdf |
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