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Title: Train timetable generation using genetic algorithms
Authors: Hinde, Chris J.
Withall, Mark S.
Phillips, Iain W.
Jackson, Thomas
Brown, Steve
Watson, Robert
Keywords: Railway timetabling
Evolutionary systems
Multiobjective optimisation
Issue Date: 2010
Publisher: © SciTePress
Citation: HINDE, C.J. ... et al, 2010. Train timetable generation using genetic algorithms. Proceedings of the International Conference on Evolutionary Computation, pp. 170-175.
Abstract: The scheduling of railway trains has been a research problem for many years. Many of the choices required are not known a priori and require exploration of the problem to determine them. A modular Genetic system was designedmake the evaluation function and preparation of the timetable tractable. The Genetic system consists of a Genome, split into Chromosomes so the extra choices that become known throughout the evolution can be added to the Chromosomes. A weighted fitness function and a multiobjective non-dominated fitness function were tried, and then partial objective ranking was added. The system has tackled a mixture of problems has produced promising results.
Description: This conference paper is also available from: www.scitepress.org/DigitalLibrary/
Version: Published
DOI: 10.5220/0003074801700175
URI: https://dspace.lboro.ac.uk/2134/7653
Publisher Link: www.scitepress.org/DigitalLibrary/
Appears in Collections:Conference Papers and Presentations (Computer Science)

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