Solution of the 3D Stochastic Stowage Planning for Con-tainer Ships through Representation by Rules
Anibal Tavares de Azevedo, Edilson Fernandes de Arruda, Luiz Leduino de Salles Neto, Antônio Augusto Chaves, Antônio Carlos Moretti
Anibal Tavares de Azevedo
Available Online October 2013.
- https://doi.org/10.2991/.2013.15How to use a DOI?
- Stochastic Stowage Planning, Container Ship, Representation by Rules, Genetic Algorithm, Participa-tory Learning System
- This paper formulates the 3D Stochastic Stowage Plan-ning (3D SSP) problem. The key objective of 3D SSP is to minimize the number of container movements and maximize the ship´s stability considering multiple scenar-ios. The binary formulation of this problem is described and an alternative formulation, called Representation by Rules, is combined with a Genetic Algorithm and a Par-ticipatory Learning System. The robustness of the devel-oped framework is verified in a problem for which the corresponding binary representation demands 405,450,000 variables.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Anibal Tavares de Azevedo AU - Edilson Fernandes de Arruda AU - Luiz Leduino de Salles Neto AU - Antônio Augusto Chaves AU - Antônio Carlos Moretti PY - 2013/10 DA - 2013/10 TI - Solution of the 3D Stochastic Stowage Planning for Con-tainer Ships through Representation by Rules BT - Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support PB - Atlantis Press SP - 120 EP - 129 SN - 1951-6851 UR - https://doi.org/10.2991/.2013.15 DO - https://doi.org/10.2991/.2013.15 ID - TavaresdeAzevedo2013/10 ER -