On-line monitoring of plan execution: A distributed approach
Knowledge-Based Systems
An optimization model for the container pre-marshalling problem
Computers and Operations Research
Models and Tabu Search Heuristics for the Berth-Allocation Problem
Transportation Science
Proceedings of the 2009 ACM symposium on Applied Computing
The metric-FF planning system: translating "Ignoring delete lists" to numeric state variables
Journal of Artificial Intelligence Research
Forecasting container throughputs at ports using genetic programming
Expert Systems with Applications: An International Journal
Planning the route of container ships: A fuzzy genetic approach
Expert Systems with Applications: An International Journal
A heuristic rule for relocating blocks
Computers and Operations Research
A Planning Tool for Minimizing Reshuffles in Container Terminals
ICTAI '09 Proceedings of the 2009 21st IEEE International Conference on Tools with Artificial Intelligence
A hybrid column generation approach for the berth allocation problem
EvoCOP'08 Proceedings of the 8th European conference on Evolutionary computation in combinatorial optimization
Modular design of a hybrid genetic algorithm for a flexible job-shop scheduling problem
Knowledge-Based Systems
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A container terminal is a facility where cargo containers are transshipped between different transport vehicles. We focus our attention on the transshipment between vessels and land vehicles, in which case the terminal is described as a maritime container terminal. In these container terminals, many combinatorial related problems appear and the solution of one of the problems may affect to the solution of other related problems. For instance, the berth allocation problem can affect to the crane assignment problem and both could also affect to the Container Stacking Problem. Thus, terminal operators normally demand all containers to be loaded into an incoming vessel should be ready and easily accessible in the yard before vessel's arrival. Similarly, customers (i.e., vessel owners) expect prompt berthing of their vessels upon arrival. However the efficiency of the loading/unloading tasks of containers in a vessel depends on the number of assigned cranes and the efficiency of the container yard logistic. In this paper, we present a decision support system to guide the operators in the development of these typical tasks. Due to some of these problems are combinatorial, some analytical formulas are presented to estimate the behavior of the container terminal.