Optimizing a container-ship stowage plan using genetic algorithms

Vitor José Almeida Sousa Lobo

Optimizing a container-ship stowage plan using genetic algorithms

NOVA Information Management School (NOVA IMS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Short sea shipping is prone to be one of the areas of development for the transportation policy of the European Union in the near future. Nevertheless, in order to be able to make its stand on the market, there are several problems that have to addressed, namely its safety and economic viability. To study the second, a genetic algorithm may be applied to the optimization of the stowage plan of a small container-ship that visits several ports, aiming to reduce the period of call on each port, but not neglecting the vessel’s stability and safety.

Original language	Unknown
Title of host publication	Jornadas de Classificação e Análise de Dados
Pages	1-4
Publication status	Published - 1 Jan 2009
Event	JOCLAD - Duration: 1 Jan 2009 → …

Conference

Conference	JOCLAD
Period	1/01/09 → …

Cite this

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title = "Optimizing a container-ship stowage plan using genetic algorithms",

abstract = "Short sea shipping is prone to be one of the areas of development for the transportation policy of the European Union in the near future. Nevertheless, in order to be able to make its stand on the market, there are several problems that have to addressed, namely its safety and economic viability. To study the second, a genetic algorithm may be applied to the optimization of the stowage plan of a small container-ship that visits several ports, aiming to reduce the period of call on each port, but not neglecting the vessel{\textquoteright}s stability and safety.",

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AB - Short sea shipping is prone to be one of the areas of development for the transportation policy of the European Union in the near future. Nevertheless, in order to be able to make its stand on the market, there are several problems that have to addressed, namely its safety and economic viability. To study the second, a genetic algorithm may be applied to the optimization of the stowage plan of a small container-ship that visits several ports, aiming to reduce the period of call on each port, but not neglecting the vessel’s stability and safety.

KW - short sea shipping

KW - container stowage problem

KW - master bay plan

KW - Genetic algorithms

M3 - Conference contribution

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BT - Jornadas de Classificação e Análise de Dados

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