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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Main Authors: XU, Zhou, RODRIGUES, Brian
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Language:English
Published: Institutional Knowledge at Singapore Management University 2010
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/3036
https://doi.org/10.1007/978-3-642-13731-0_13
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spelling 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
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Approximation algorithm
multiple depots
vehicle routing
Operations and Supply Chain Management
spellingShingle 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
description 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.
format text
author XU, Zhou
RODRIGUES, Brian
author_facet XU, Zhou
RODRIGUES, Brian
author_sort 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
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/lkcsb_research/3036
https://doi.org/10.1007/978-3-642-13731-0_13
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