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Scientific paper - Original scientific paper
Optimization of Container Relocation Operations in Port Container terminals
Transport, 35 (2020), 1; 37-47. https://doi.org/10.3846/transport.2019.11628
Maglić, Livia; Gulić, Marko; Maglić, Lovro

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Maglić, L., Gulić, M. & Maglić, L. (2020). Optimization of Container Relocation Operations in Port Container terminals. Transport, 35. (1), 37-47. doi: 10.3846/transport.2019.11628

Maglić, Livia, et al. "Optimization of Container Relocation Operations in Port Container terminals." Transport, vol. 35, no. 1, 2020, pp. 37-47. https://doi.org/10.3846/transport.2019.11628

Maglić, Livia, Marko Gulić and Lovro Maglić. "Optimization of Container Relocation Operations in Port Container terminals." Transport 35, no. 1 (2020): 37-47. https://doi.org/10.3846/transport.2019.11628

Maglić, L., Gulić, M. and Maglić, L. (2020) 'Optimization of Container Relocation Operations in Port Container terminals', Transport, 35(1), pp. 37-47. doi: 10.3846/transport.2019.11628

Maglić L, Gulić M, Maglić L. Optimization of Container Relocation Operations in Port Container terminals. Transport [Internet]. 2020 [cited 2024 April 10];35(1):37-47. doi: 10.3846/transport.2019.11628

L. Maglić, M. Gulić and L. Maglić, "Optimization of Container Relocation Operations in Port Container terminals", Transport, vol. 35, no. 1, pp. 37-47, 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:075751. [Accessed: 10 April 2024]

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Metadata
Title (english)Optimization of Container Relocation Operations in Port Container terminals
AuthorLivia Maglić
AuthorMarko Gulić
AuthorLovro Maglić
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract (english)
The relocation of containers is a crucial operation in container ports all around the world. The container relocation problem is focused upon to find a sequence of container retrievals in a defined order from a single yard container bay with a minimum number of relocations. The goal of this paper is to find out if genetic algorithm can give new insights in the problem of solving the container relocation problem. In this paper we focus on the two-dimensional, static, offline and restricted container relocation problem of real-world yard container bays. Four rules are proposed for determining the position of relocated containers. We applied genetic algorithm to find the best sequence of container retrievals according to these four rules in order to minimize the number of relocations within the bay. The experimental testing was run on a total of 800 different instances with varying bay sizes and number of containers. The given results are compared with the results of different authors using other heuristic methods. The results show that the proposed model solves container relocation problem and achieves near optimal solutions.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleTransport
Numberingvol. 35, no. 1, pp. 37-47
p-ISSN1648-4142
DOIhttps://doi.org/10.3846/transport.2019.11628
URN:NBNurn:nbn:hr:187:075751
Publication2020
Document URLhttp://bib.irb.hr/1032084
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-07-19 10:37:25