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Pregled bibliografske jedinice broj: 1210931

Solving the Container Relocation Problem by Using a Metaheuristic Genetic Algorithm


Gulić, Marko; Maglić, Livia; Krljan, Tomislav; Maglić, Lovro
Solving the Container Relocation Problem by Using a Metaheuristic Genetic Algorithm // Applied Sciences-Basel, 12 (2022), 15; 7397, 24 doi:10.3390/app12157397 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1210931 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Solving the Container Relocation Problem by Using a Metaheuristic Genetic Algorithm

Autori
Gulić, Marko ; Maglić, Livia ; Krljan, Tomislav ; Maglić, Lovro

Izvornik
Applied Sciences-Basel (2076-3417) 12 (2022), 15; 7397, 24

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
container yard bay ; container relocation problem ; optimization problem ; genetic algorith

Sažetak
Maritime transport is the backbone of international trade of goods. Therefore, seaports are of great importance for maritime transport. Container transport plays an important role in maritime transport and is increasing year by year. Containers transported to a container terminal are stored in container yards side by side and on top of each other, forming blocks. If a container that is not on top of the block has to be retrieved, the containers that are above the required container must be relocated before the required container is retrieved. These additional container relocations, which block the retrieval of the required container, slow down the entire retrieval process. The container relocation problem, also known as the block relocation problem, is an optimization problem that involves finding an optimal sequence of operations for retrieving blocks (containers) from a container yard in a given order, minimizing additional relocations of blocking containers. In this paper, the focus is on the two-dimensional, static, offline and the restricted container relocation problem of real-size yard container bays. A new method for resolving the container relocation problem that uses a genetic algorithm is proposed to minimize the number of relocations within the bay. The method is evaluated on well-known test instances, and the obtained results are compared with the results of various relevant models for resolving the container relocation problem. The results show that the proposed method achieves the best or the second-best result for each test instance within the test se

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Tehnologija prometa i transport, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Projekti:
EK-EFRR-5MED18_1.1_M23_061 - Udruženje malih i srednjih putničkih luka s ciljem održivog razvoja (PSAMIDES) (Maglić, Livia, EK ) ( CroRIS)

Ustanove:
Pomorski fakultet, Rijeka

Profili:

Avatar Url Livia Maglić (autor)

Avatar Url Lovro Maglić (autor)

Avatar Url Tomislav Krljan (autor)

Avatar Url Marko Gulić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.mdpi.com

Citiraj ovu publikaciju:

Gulić, Marko; Maglić, Livia; Krljan, Tomislav; Maglić, Lovro
Solving the Container Relocation Problem by Using a Metaheuristic Genetic Algorithm // Applied Sciences-Basel, 12 (2022), 15; 7397, 24 doi:10.3390/app12157397 (međunarodna recenzija, članak, znanstveni)
Gulić, M., Maglić, L., Krljan, T. & Maglić, L. (2022) Solving the Container Relocation Problem by Using a Metaheuristic Genetic Algorithm. Applied Sciences-Basel, 12 (15), 7397, 24 doi:10.3390/app12157397.
@article{article, author = {Guli\'{c}, Marko and Magli\'{c}, Livia and Krljan, Tomislav and Magli\'{c}, Lovro}, year = {2022}, pages = {24}, DOI = {10.3390/app12157397}, chapter = {7397}, keywords = {container yard bay, container relocation problem, optimization problem, genetic algorith}, journal = {Applied Sciences-Basel}, doi = {10.3390/app12157397}, volume = {12}, number = {15}, issn = {2076-3417}, title = {Solving the Container Relocation Problem by Using a Metaheuristic Genetic Algorithm}, keyword = {container yard bay, container relocation problem, optimization problem, genetic algorith}, chapternumber = {7397} }
@article{article, author = {Guli\'{c}, Marko and Magli\'{c}, Livia and Krljan, Tomislav and Magli\'{c}, Lovro}, year = {2022}, pages = {24}, DOI = {10.3390/app12157397}, chapter = {7397}, keywords = {container yard bay, container relocation problem, optimization problem, genetic algorith}, journal = {Applied Sciences-Basel}, doi = {10.3390/app12157397}, volume = {12}, number = {15}, issn = {2076-3417}, title = {Solving the Container Relocation Problem by Using a Metaheuristic Genetic Algorithm}, keyword = {container yard bay, container relocation problem, optimization problem, genetic algorith}, chapternumber = {7397} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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  • INSPEC


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