NDLI: A multi-objective genetic algorithm based bus vehicle scheduling approach

Content Provider	IEEE Xplore Digital Library
Author	Cheng Chen Xingquan Zuo
Copyright Year	2014
Description	Author affiliation: Comput. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China (Cheng Chen; Xingquan Zuo)
Abstract	Vehicle scheduling problem of urban bus line is complex and involves multiple objectives. Currently, existing approaches incorporate those objectives in a linear fashion to form a single objective and then use a single objective optimization approach to solve it. However, these approaches can only produce one solution and it is not easy to assign a proper weight for each objective to get a superior solution that can balance the preferences of different objectives. In this paper, an improved NSGA-II is proposed to create a set of Pareto solutions for this problem. This approach is applied to a real-world vehicle scheduling problem of a bus line. Experiments show that this approach is able to quickly produce satisfactory Pareto solutions, which outperforms the actually used experience-based solution.
Starting Page	2675
Ending Page	2679
File Size	1440839
Page Count	5
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852625
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	vehicle scheduling Job shop scheduling Sociology multi-objective optimization bus line Statistics Optimization Vehicles Genetic algorithms public transportation
Content Type	Text
Resource Type	Article

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