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Generation evolution in GA application on railway traffic control

Ho, T.K., Chan, P.T., & Yeung, T.H. (2001) Generation evolution in GA application on railway traffic control. In Proceedings of International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2001), Las Vegas, Nevada.

Abstract

This paper presents a Genetic Algorithms (GA) approach to resolve traffic conflicts at a railway junction. The formulation of the problem for the suitable application of GA will be discussed and three neighborhoods have been proposed for generation evolution. The performance of the GA is evaluated by computer simulation. This study paves the way for more applications of artificial intelligence techniques on a rather conservative industry.

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ID Code: 38624
Item Type: Conference Paper
Keywords: Railway traffic control, Genetic algorithms, Junction traffic control
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Expert Systems (080105)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2001 [please consult the authors]
Deposited On: 18 Nov 2010 07:39
Last Modified: 11 Aug 2011 04:31

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