NDLI: Hybrid genetic algorithms for scheduling bus and train drivers

Content Provider	IEEE Xplore Digital Library
Author	Kwan, R.S.K. Wren, A. Kwan, A.S.K.
Copyright Year	2000
Description	Author affiliation: Sch. of Comput. Studies, Leeds Univ., UK (Kwan, R.S.K.)
Abstract	Introduces the subject of bus- and train-driver scheduling, and outlines a standard successful approach (TRACS II) using a blend of heuristics and integer linear programming. We discuss a few limitations of this system; in order to overcome these, we have investigated a range of metaheuristics and constraint programming approaches, and some of these are outlined. Finally, we present a hybrid genetic algorithm which is successfully used to overcome the above limitations. In this approach, all probable potential shifts are generated according to well-developed heuristics that are already used in TRACS II. The selection of such shifts to form a schedule is modeled as a set-covering problem, and the relaxation of this problem, ignoring integer conditions, is solved to optimality. A genetic algorithm then develops a solution schedule based on some of the characteristics of the relaxed solution. It is suggested that this approach might be suitable for other set-covering problems.
Starting Page	285
Ending Page	292
File Size	933401
Page Count	8
File Format	PDF
ISBN	0780363752
DOI	10.1109/CEC.2000.870308
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Vehicle driving Processor scheduling Integer linear programming NP-hard problem
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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