Document Type
Article Restricted
Publication Date
4-2008
Journal Title
International Journal of Production Economics
Volume Number
112
Issue Number
2
First Page
665
Last Page
682
Abstract
To improve the productivities of an automated container terminal, it is important to schedule different types of handling equipment in an integrated way. A mixed-integer programming model, which considers various constraints related to the integrated operations between different types of handling equipment, is formulated. This study proposes a heuristic method, called multi-layer genetic algorithm (MLGA) to obtain the near-optimal solution of the integrated scheduling problem and an improved heuristic algorithm, called genetic algorithm plus maximum matching (GAPM), to reduce the computation complexity of the MLGA method. The performance of GAPM is also compared with that of the MLGA method.