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A Class of Train-Scheduling Problems
We relate the question of determining stop-schedules for trains that deliver traffic on a line of stations to the maximization of submodular set functions. We prove that a greedy algorithm is optimal under certain assumptions and report computational experience on the performance of the greedy heuri...
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Published in: | Transportation science 1982-08, Vol.16 (3), p.281-310 |
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Language: | English |
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container_end_page | 310 |
container_issue | 3 |
container_start_page | 281 |
container_title | Transportation science |
container_volume | 16 |
creator | Assad, Arjang A |
description | We relate the question of determining stop-schedules for trains that deliver traffic on a line of stations to the maximization of submodular set functions. We prove that a greedy algorithm is optimal under certain assumptions and report computational experience on the performance of the greedy heuristic as compared to the exact algorithm when the optimality of the greedy heuristic cannot be guaranteed. |
doi_str_mv | 10.1287/trsc.16.3.281 |
format | article |
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language | eng |
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source | Business Source Ultimate【Trial: -2024/12/31】【Remote access available】; JSTOR Archival Journals and Primary Sources Collection |
subjects | Greedy algorithms Heuristics Mathematical functions Motor vehicle traffic Objective functions Optimal policy Optimal solutions Railroad trains Scheduling Traffic |
title | A Class of Train-Scheduling Problems |
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