• ISSN: 2010-023X
    • Frequency: Bimonthly
    • DOI: 10.18178/IJTEF
    • Editor-in-Chief: Prof.Tung-Zong (Donald) Chang
    • Executive Editor: Ms. Cherry L. Chen
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ , EBSCO, and Ulrich's Periodicals Directory
    • E-mail: ijtef@ejournal.net
IJTEF 2013 Vol.4(5): 304-309 ISSN: 2010-023X
DOI: 10.7763/IJTEF.2013.V4.306

Application of Genetic Algorithms to Container Loading Optimization

Raúl Pino, Alberto Gómez, José Parreño, David De La Fuente, and Paolo Priore
Abstract—Standardization of transport means, such as, containers has a direct impact on the transportation efficiency sought by European transport policies. In this paper, we present a genetic algorithm application to the container loading problem trying to maximize the cargo volume accommodated in the container whilst ensuring that loading restrictions are met, and thus achieving a reduction in the number of freight to hire and thereby a reduction in costs. The proposed method has been compared to similar models, and the results obtained are similar or even improved.

Index Terms—Genetic algorithms, optimization, container loading.

The authors are with the Polytechnic School of Engineering (University of Oviedo), Campus de Viesques s/n, CP 33204, Gijón (Asturias), Spain (e-mail: pino@uniovi.es, albertogomez@uniovi.es, parreno@uniovi.es, david@uniovi.es, priore@uniovi.es).

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Cite:Raúl Pino, Alberto Gómez, José Parreño, David De La Fuente, and Paolo Priore, "Application of Genetic Algorithms to Container Loading Optimization," International Journal of Trade, Economics and Finance vol.4, no.5, pp. 304-309, 2013.

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