NDLI: Synthetically Improved Genetic Algorithm in Public Traffic Dispatch System

Content Provider	IEEE Xplore Digital Library
Author	Lei Zhou Hongqi Hui
Copyright Year	2009
Abstract	On the basis of the bus scheduling problems, using stochastic optimization theory and nonlinear programming theory and so on, the bus scheduling and the situation of bus arrangement of Shijiazhuang Hebei province were analyzed. Study on the difference of this process and the improvement between the actual situation and the optimum scheme in theory. Because there are many of random factors among the bus scheduling in the practical environment, on the base of nonlinear programming theory, the random analysis theory was used. A stochastic nonlinear programming model and solutions to them were proposed, objectively the defects of poor objectivity of nonlinear programming theory was made up. At the same time the paper introduces a synthetically improved genetic algorithm which utilizes the advantage of other meliorated genetic algorithm and synthesizes them. Therefore the synthetically improved genetic algorithm's capability is enhanced and the result of model which is solved using it is excellent in the solution space. So the abuse of traditional model was avoided. It considered the dual interests among passenger and the bus company. And it researches a balance point among them.
Starting Page	5169
Ending Page	5172
File Size	289432
Page Count	4
File Format	PDF
ISBN	9781424449095
e-ISBN	9781424457281
DOI	10.1109/ICISE.2009.1155
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Road transportation Technology management Space technology Stochastic processes Cities and towns Scheduling Environmental economics Intelligent transportation systems Genetic algorithms Vehicles
Content Type	Text
Resource Type	Article

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