Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Reactive GRASP: An Application to a Matrix Decomposition Problem in TDMA Traffic Assignment
INFORMS Journal on Computing
An optimization model for the container pre-marshalling problem
Computers and Operations Research
A heuristic rule for relocating blocks
Computers and Operations Research
Hybrid metaheuristics in combinatorial optimization: A survey
Applied Soft Computing
A tree search procedure for the container relocation problem
Computers and Operations Research
Pre-Marshalling Problem: Heuristic solution method and instances generator
Expert Systems with Applications: An International Journal
A math-heuristic for the multi-level capacitated lot sizing problem with carryover
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
Extended mis-overlay calculation for pre-marshalling containers
ICCL'12 Proceedings of the Third international conference on Computational Logistics
A MIP-based framework and its application on a lot sizing problem with setup carryover
Journal of Heuristics
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To ease the situation and to ensure a high performance of ship, train and truck operations at container terminals, containers sometimes are pre-stowed near to the loading place and in such an order that it fits the loading sequence. This is done after the stowage plan is finished and before ship loading starts. Such a problem may be referred to as pre-marshalling. Motivated by most recent publications on this problem we describe a metaheuristic approach which is able to solve this type of problem. The approach utilizes the paradigm of the corridor method.