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Solution of the 3D stochastic stowage planning for con-tainer ships through representation by rules

Solution of the 3D stochastic stowage planning for con-tainer ships through representation by rules
Solution of the 3D stochastic stowage planning for con-tainer ships through representation by rules
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.
120-129
Atlantis Press
Azevedo, Anibal Tavares de
683d39de-af46-4b1b-be74-379b07941af5
Arruda, Edilson Fernandes de
8eb3bd83-e883-4bf3-bfbc-7887c5daa911
Neto, Luiz Leduino de Salles
c2a6e616-2e67-4880-9091-de7b18695d3a
Chaves, Antônio Augusto
f48121e1-7f5f-41b5-91d0-36503578e4dd
Moretti, Antônio Carlos
0cfc6905-64b4-44e8-a5db-f4f44e415c61
Azevedo, Anibal Tavares de
683d39de-af46-4b1b-be74-379b07941af5
Arruda, Edilson Fernandes de
8eb3bd83-e883-4bf3-bfbc-7887c5daa911
Neto, Luiz Leduino de Salles
c2a6e616-2e67-4880-9091-de7b18695d3a
Chaves, Antônio Augusto
f48121e1-7f5f-41b5-91d0-36503578e4dd
Moretti, Antônio Carlos
0cfc6905-64b4-44e8-a5db-f4f44e415c61

Azevedo, Anibal Tavares de, Arruda, Edilson Fernandes de, Neto, Luiz Leduino de Salles, Chaves, Antônio Augusto and Moretti, Antônio Carlos (2013) Solution of the 3D stochastic stowage planning for con-tainer ships through representation by rules. In Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support. Atlantis Press. pp. 120-129 . (doi:10.2991/.2013.15).

Record type: Conference or Workshop Item (Paper)

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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Published date: October 2013

Identifiers

Local EPrints ID: 444695
URI: http://eprints.soton.ac.uk/id/eprint/444695
PURE UUID: 4e8b2143-bd09-4436-b9e3-4d9572ff4f52
ORCID for Edilson Fernandes de Arruda: ORCID iD orcid.org/0000-0002-9835-352X

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Date deposited: 30 Oct 2020 17:30
Last modified: 13 Dec 2021 03:39

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Contributors

Author: Anibal Tavares de Azevedo
Author: Luiz Leduino de Salles Neto
Author: Antônio Augusto Chaves
Author: Antônio Carlos Moretti

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