A Multi-Objective Model about Period Train Timetable Problem and a Genetic Algorithm Based on Job-Shop Problem

Abstract:

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At present, periodic train timetable problem (PTTP) becomes one of the hot topics home and abroad. On the basic of present theories and methods about periodic and non-periodic train timetable problem, the thesis constructs a multi-objectives model for the PTTP, transfers it into a single model with multi-priorities structure, and designs a genetic algorithm in a given period by the basic ideas on solving job shop problem. Finally, the paper gives out a instance for Jingjin railroad to show effectiveness of the algorithm.

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

56-59

DOI:

10.4028/www.scientific.net/AMM.48-49.56

Citation:

X. Q. Jia and X. Y. Guan, "A Multi-Objective Model about Period Train Timetable Problem and a Genetic Algorithm Based on Job-Shop Problem", Applied Mechanics and Materials, Vols. 48-49, pp. 56-59, 2011

Online since:

February 2011

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Price:

$35.00

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