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Pregled bibliografske jedinice broj: 1226889

Automated design of heuristics for the container relocation problem using genetic programming


Đurasević, Marko; Đumić, Mateja
Automated design of heuristics for the container relocation problem using genetic programming // Applied soft computing, 130 (2022), 109696, 52 doi:10.1016/j.asoc.2022.109696 (međunarodna recenzija, članak, znanstveni)


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Naslov
Automated design of heuristics for the container relocation problem using genetic programming

Autori
Đurasević, Marko ; Đumić, Mateja

Izvornik
Applied soft computing (1568-4946) 130 (2022); 109696, 52

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

Ključne riječi
Container relocation problem ; Genetic programming ; Hyper-heuristics ; Relocation rules

Sažetak
The container relocation problem is a challenging combinatorial optimisation problem tasked with finding a sequence of container relocations required to retrieve all containers by a given order. Due to the complexity of this problem, heuristic methods are often applied to obtain acceptable solutions in a small amount of time. These include relocation rules (RRs) that determine the relocation moves that need to be performed to efficiently retrieve the next container based on certain yard properties. Such rules are often designed manually by domain experts, which is a time-consuming and challenging task. This paper investigates the application of genetic programming (GP) to design effective RRs automatically. Experimental results show that RRs evolved by GP outperform several existing manually designed RRs. Additional analyses of the proposed approach demonstrate that the evolved rules generalise well across a wide range of unseen problems and that their performance can be further enhanced. Therefore, the proposed method presents a viable alternative to existing manually designed RRs and opens a new research direction in the area of container relocation problems.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Osijeku, Odjel za matematiku

Profili:

Avatar Url Mateja Đumić (autor)

Avatar Url Marko Đurasević (autor)

Citiraj ovu publikaciju:

Đurasević, Marko; Đumić, Mateja
Automated design of heuristics for the container relocation problem using genetic programming // Applied soft computing, 130 (2022), 109696, 52 doi:10.1016/j.asoc.2022.109696 (međunarodna recenzija, članak, znanstveni)
Đurasević, M. & Đumić, M. (2022) Automated design of heuristics for the container relocation problem using genetic programming. Applied soft computing, 130, 109696, 52 doi:10.1016/j.asoc.2022.109696.
@article{article, author = {\DJurasevi\'{c}, Marko and \DJumi\'{c}, Mateja}, year = {2022}, pages = {52}, DOI = {10.1016/j.asoc.2022.109696}, chapter = {109696}, keywords = {Container relocation problem, Genetic programming, Hyper-heuristics, Relocation rules}, journal = {Applied soft computing}, doi = {10.1016/j.asoc.2022.109696}, volume = {130}, issn = {1568-4946}, title = {Automated design of heuristics for the container relocation problem using genetic programming}, keyword = {Container relocation problem, Genetic programming, Hyper-heuristics, Relocation rules}, chapternumber = {109696} }
@article{article, author = {\DJurasevi\'{c}, Marko and \DJumi\'{c}, Mateja}, year = {2022}, pages = {52}, DOI = {10.1016/j.asoc.2022.109696}, chapter = {109696}, keywords = {Container relocation problem, Genetic programming, Hyper-heuristics, Relocation rules}, journal = {Applied soft computing}, doi = {10.1016/j.asoc.2022.109696}, volume = {130}, issn = {1568-4946}, title = {Automated design of heuristics for the container relocation problem using genetic programming}, keyword = {Container relocation problem, Genetic programming, Hyper-heuristics, Relocation rules}, chapternumber = {109696} }

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


Citati:





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