A two-phase genetic algorithm for the berth and quay crane allocation and scheduling problem
AbstractThis paper presents a hybrid genetic algorithm for a dynamic continuous berth allocation and quay crane scheduling problem. In the first phase of the algorithm, vessels are positioned at berthing locations and quay cranes are assigned to vessels using novel crane assignment heuristics. In the second phase, cranes are scheduled to minimize the distance travelled in repositioning the cranes. The solution approach is tested on benchmarks derived from real-life data, with varying levels of capacity utilization.
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Bibliographic InfoPaper provided by Ghent University, Faculty of Economics and Business Administration in its series Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium with number 10/663.
Length: 2 pages
Date of creation: Aug 2010
Date of revision:
Berth allocation; Quay crane scheduling; Genetic algorithm.;
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