Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support

Solution of the 3D Stochastic Stowage Planning for Con-tainer Ships through Representation by Rules

Authors
Anibal Tavares de Azevedo, Edilson Fernandes de Arruda, Luiz Leduino de Salles Neto, Antônio Augusto Chaves, Antônio Carlos Moretti
Corresponding Author
Anibal Tavares de Azevedo
Available Online October 2013.
DOI
https://doi.org/10.2991/.2013.15How to use a DOI?
Keywords
Stochastic Stowage Planning, Container Ship, Representation by Rules, Genetic Algorithm, Participa-tory Learning System
Abstract
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.
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Proceedings
Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90-78677-86-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/.2013.15How to use a DOI?
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  -