Solving the 3D container ship loading planning problem by representation by rules and meta-heuristics

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorDe Azevedo, Anibal Tavares-
Autor(es): dc.creatorRibeiro, Cassilda Maria-
Autor(es): dc.creatorDe Sena, Galeno José-
Autor(es): dc.creatorChaves, Antônio Augusto-
Autor(es): dc.creatorNeto, Luis Leduíno Salles-
Autor(es): dc.creatorMoretti, Antônio Carlos-
Data de aceite: dc.date.accessioned2025-08-21T19:55:38Z-
Data de disponibilização: dc.date.available2025-08-21T19:55:38Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2014-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1504/IJDATS.2014.063060-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/231337-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/231337-
Descrição: dc.descriptionThis paper formulates the 3D containership loading planning problem (3D CLPP) and also proposes a new and compact representation to efficiently solve it. The key objective of stowage planning is to minimise the number of container movements and also the ship's instability. The binary formulation of this problem is properly described and an alternative formulation called Representation by Rules is proposed. This new representation is combined with three metaheuristics-genetic algorithm, simulated annealing, and beam search-to solve the 3D CLPP in a manner that ensures that every solution analysed in the optimisation process is compact and feasible. © 2014 Inderscience Enterprises Ltd.-
Descrição: dc.descriptionApplied Science Faculty State University of Campinas, Rua Pedro Zaccaria, 1300, Limeira-
Descrição: dc.descriptionMathematics Department State of São Paulo University, Av. Dr. Ariberto Pereira da Cunha, 333, Guaratinguetá-
Descrição: dc.descriptionDepartment of Science and Technology Federal University of São Paulo, Rua Talim, 330, São Paulo-
Formato: dc.format228-260-
Idioma: dc.languageen-
Relação: dc.relationInternational Journal of Data Analysis Techniques and Strategies-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subject3D Container ship stowage-
Palavras-chave: dc.subjectCombinatorial optimisation-
Palavras-chave: dc.subjectMeta-heuristic-
Título: dc.titleSolving the 3D container ship loading planning problem by representation by rules and meta-heuristics-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.