Ship Routing and Scheduling: Status and Perspectives
Transportation Science
Models and Tabu Search Heuristics for the Berth-Allocation Problem
Transportation Science
Container Terminals and Cargo Systems: Design, Operations Management, and Logistics Control Issues
Container Terminals and Cargo Systems: Design, Operations Management, and Logistics Control Issues
Computers and Industrial Engineering
An artificial intelligence planning tool for the container stacking problem
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Domain-dependent planning heuristics for locating containers in maritime terminals
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Intelligent planning for allocating containers in maritime terminals
Expert Systems with Applications: An International Journal
A decision support system for managing combinatorial problems in container terminals
Knowledge-Based Systems
Performance evaluation of evolutionary heuristics in dynamic environments
Applied Intelligence
On evolutionary computing in multi-ship trajectory planning
Applied Intelligence
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Container terminals are open systems that generally serve as a transshipment zone between vessels and land vehicles. These terminals carry out a large number of planning and scheduling tasks. In this paper, we consider the problem of scheduling a number of incoming vessels by assigning a berthing position, a berthing time, and a number of Quay Cranes to each vessel. This problem is known as the Berth Allocation Problem and the Quay Crane Assignment Problem. Holds of vessels are also managed in order to obtain a more realistic approach. Our aim is to minimize the total waiting time elapsed to serve all these vessels. In this paper, we deal with the above problems and propose an innovative metaheuristic approach. The results are compared against other allocation methods.