A 3/2-Approximation Algorithm for the Multiple TSP with a Fixed Number of Depots
As an important extension of the classical traveling salesman problem (TSP), the multiple depot multiple traveling salesman problem (MDMTSP) is to minimize the total length of a collection of tours for multiple vehicles to serve all the customers, where each vehicle must start or stay at its distinc...
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sg-smu-ink.lkcsb_research-40352016-03-11T13:08:16Z A 3/2-Approximation Algorithm for the Multiple TSP with a Fixed Number of Depots XU, Zhou RODRIGUES, Brian As an important extension of the classical traveling salesman problem (TSP), the multiple depot multiple traveling salesman problem (MDMTSP) is to minimize the total length of a collection of tours for multiple vehicles to serve all the customers, where each vehicle must start or stay at its distinct depot. Due to the gap between the existing best approximation ratios for the TSP and for the MDMTSP in literature, which are 3/2 and 2, respectively, it is an open question whether or not a 3/2-approximation algorithm exists for the MDMTSP. We have partially addressed this question by developing a 3/2-approximation algorithm, which runs in polynomial time when the number of depots is a constant. 2010-06-01T07:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/3036 info:doi/10.1007/978-3-642-13731-0_13 https://doi.org/10.1007/978-3-642-13731-0_13 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Approximation algorithm multiple depots vehicle routing Operations and Supply Chain Management |
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Approximation algorithm multiple depots vehicle routing Operations and Supply Chain Management XU, Zhou RODRIGUES, Brian A 3/2-Approximation Algorithm for the Multiple TSP with a Fixed Number of Depots |
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As an important extension of the classical traveling salesman problem (TSP), the multiple depot multiple traveling salesman problem (MDMTSP) is to minimize the total length of a collection of tours for multiple vehicles to serve all the customers, where each vehicle must start or stay at its distinct depot. Due to the gap between the existing best approximation ratios for the TSP and for the MDMTSP in literature, which are 3/2 and 2, respectively, it is an open question whether or not a 3/2-approximation algorithm exists for the MDMTSP. We have partially addressed this question by developing a 3/2-approximation algorithm, which runs in polynomial time when the number of depots is a constant. |
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XU, Zhou RODRIGUES, Brian |
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XU, Zhou RODRIGUES, Brian |
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XU, Zhou |
title |
A 3/2-Approximation Algorithm for the Multiple TSP with a Fixed Number of Depots |
title_short |
A 3/2-Approximation Algorithm for the Multiple TSP with a Fixed Number of Depots |
title_full |
A 3/2-Approximation Algorithm for the Multiple TSP with a Fixed Number of Depots |
title_fullStr |
A 3/2-Approximation Algorithm for the Multiple TSP with a Fixed Number of Depots |
title_full_unstemmed |
A 3/2-Approximation Algorithm for the Multiple TSP with a Fixed Number of Depots |
title_sort |
3/2-approximation algorithm for the multiple tsp with a fixed number of depots |
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Institutional Knowledge at Singapore Management University |
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2010 |
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https://ink.library.smu.edu.sg/lkcsb_research/3036 https://doi.org/10.1007/978-3-642-13731-0_13 |
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