Berth scheduling by simulated annealing

The objective of the berth-scheduling problem is to determine the berthing times and positions of containerships in port container terminals. Every vessel requires a specific amount of space in a wharf for a predetermined length of time to unload and load containers. In this study, a mixed-integer-l...

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Veröffentlicht in:Transportation research. Part B: methodological 2003-07, Vol.37 (6), p.541-560
Hauptverfasser: Kim, Kap Hwan, Moon, Kyung Chan
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container_title Transportation research. Part B: methodological
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creator Kim, Kap Hwan
Moon, Kyung Chan
description The objective of the berth-scheduling problem is to determine the berthing times and positions of containerships in port container terminals. Every vessel requires a specific amount of space in a wharf for a predetermined length of time to unload and load containers. In this study, a mixed-integer-linear-programming (MIP) model was formulated for the berth-scheduling problem. The simulated annealing algorithm was applied to the berth-scheduling problem to find near-optimal solutions. Experimental results showed that the simulated annealing algorithm obtains solutions that are similar to the optimal solutions found by the MIP model.
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source RePEc; Elsevier ScienceDirect Journals
subjects Applied sciences
Berth scheduling
Buildings. Public works
Container terminals
Exact sciences and technology
Ground, air and sea transportation, marine construction
Hydraulic constructions
Marine and water way transportation and traffic
Mixed-integer-programming
Port facilities and coastal structures. Lighthouses and beacons
Simulated annealing
Transportation planning, management and economics
title Berth scheduling by simulated annealing
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