NDLI: On robust discrete berth allocation based on ant colony algorithm

Content Provider	IEEE Xplore Digital Library
Author	Sun Bin Sun Junqing Liu Fenglian Yang Peng Han Mei Feng Meiling
Copyright Year	2010
Description	Author affiliation: Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, 300191, China (Sun Bin; Sun Junqing; Liu Fenglian; Yang Peng; Han Mei; Feng Meiling)
Abstract	The berth allocation is the primary problem of the berth scheduling system, which is an important one in the container terminal. This paper regards total planning delay time of vessels in the terminals as service measure, introduces buffer time as robust measure and proposes the model of robust and discrete berth allocation based on ant colony optimization. In the model the physical conditions and handling capability of the berths is taken into account and the trade-off between the service and robustness of berth allocation planning. The paper applies ant colony optimization to solve the model. The simulation tests reveal that the robust berth allocation plan through the method in this dissertation has the significantly better ability of anti-disturbance than that by the traditional method under the uncertain environment.
Starting Page	1727
Ending Page	1732
File Size	470105
Page Count	6
File Format	PDF
ISBN	9781424462636
e-ISBN	9787894631046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Association of Aut
Subject Keyword	Ant Colony Algorithm Container Terminal Robust Containers Berth Allocation Service Robustness Time measurement Electronic mail Planning Resource management Sun
Content Type	Text
Resource Type	Article

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