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Heuristic techniques for train scheduling

Higgins, Andrew, Kozan, Erhan, & Ferreira, Luis (1997) Heuristic techniques for train scheduling. Journal of Heuristics, 3(1), pp. 43-62.

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Abstract

Optimising a train schedule on a single line track is known to be NP-Hard with respect to the number of conflicts in the schedule. This makes it difficult to determine optimum solutions to real life problems in reasonable time and raises the need for good heuristic techniques. The heuristics applied and compared in this paper are a local search heuristic with an improved neighbourhood structure, genetic algorithms, tabu search and two hybrid algorithms. When no time constraints are enforced on solution time, the genetic and hybrid algorithms were within five percent of the optimal solution for at least ninety percent of the test problems.

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ID Code: 3794
Item Type: Journal Article
Keywords: Train Scheduling, Local Search, Tabu Search, Genetic Algorithm, Hybrid Algorithm
DOI: 10.1023/A:1009672832658
ISSN: 1572-9397
Subjects: Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > TRANSPORTATION AND FREIGHT SERVICES (150700) > Rail Transportation and Freight Services (150702)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 1997 Springer
Copyright Statement: The original publication is available at SpringerLink http://www.springerlink.com
Deposited On: 31 Mar 2006
Last Modified: 01 Sep 2010 22:39

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