The bin covering with delivery problem, extended investigations for the online case

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The bin covering with delivery problem, extended investigations for the online case. / Abraham, Gyula; Auer, Peter; Dosa, Gyorgy et al.
In: Central European Journal of Operations Research, Vol. 31.2023, No. March, 30.04.2022, p. 21-47.

Research output: Contribution to journalArticleResearchpeer-review

APA

Abraham, G., Auer, P., Dosa, G., Dulai, T., Tuza, Z., & Werner-Stark, Á. (2022). The bin covering with delivery problem, extended investigations for the online case. Central European Journal of Operations Research, 31.2023(March), 21-47. Advance online publication. https://doi.org/10.1007/s10100-022-00798-1

Vancouver

Abraham G, Auer P, Dosa G, Dulai T, Tuza Z, Werner-Stark Á. The bin covering with delivery problem, extended investigations for the online case. Central European Journal of Operations Research. 2022 Apr 30;31.2023(March):21-47. Epub 2022 Apr 30. doi: 10.1007/s10100-022-00798-1

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Bibtex - Download

@article{9db83bd93737488683077623a9abd469,
title = "The bin covering with delivery problem, extended investigations for the online case",
abstract = "We deal with a model that is called Bin Covering with Delivery. Here we search for a “good and fast” covering. This problem has been defined and investigated recently. Here we continue and significantly augment the preliminary investigations of the problem. After studying the goodness of adapted versions of some classical algorithms, we propose a parametrized algorithm and use a heuristic parameter optimization method to solve this (algorithmically very challenging) problem. Namely, we apply local search to determine a good choice of the parameters. The efficiency of the proposed method is demonstrated by intensive computer experiments on appropriate modifications of benchmark instances. ",
keywords = "Bin covering, Bin packing, Metaheuristics",
author = "Gyula Abraham and Peter Auer and Gyorgy Dosa and Tibor Dulai and Zsolt Tuza and {\'A}gnes Werner-Stark",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = apr,
day = "30",
doi = "10.1007/s10100-022-00798-1",
language = "English",
volume = "31.2023",
pages = "21--47",
journal = "Central European Journal of Operations Research",
issn = "1435-246X",
publisher = "Springer Berlin",
number = "March",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - The bin covering with delivery problem, extended investigations for the online case

AU - Abraham, Gyula

AU - Auer, Peter

AU - Dosa, Gyorgy

AU - Dulai, Tibor

AU - Tuza, Zsolt

AU - Werner-Stark, Ágnes

N1 - Publisher Copyright: © 2022, The Author(s).

PY - 2022/4/30

Y1 - 2022/4/30

N2 - We deal with a model that is called Bin Covering with Delivery. Here we search for a “good and fast” covering. This problem has been defined and investigated recently. Here we continue and significantly augment the preliminary investigations of the problem. After studying the goodness of adapted versions of some classical algorithms, we propose a parametrized algorithm and use a heuristic parameter optimization method to solve this (algorithmically very challenging) problem. Namely, we apply local search to determine a good choice of the parameters. The efficiency of the proposed method is demonstrated by intensive computer experiments on appropriate modifications of benchmark instances.

AB - We deal with a model that is called Bin Covering with Delivery. Here we search for a “good and fast” covering. This problem has been defined and investigated recently. Here we continue and significantly augment the preliminary investigations of the problem. After studying the goodness of adapted versions of some classical algorithms, we propose a parametrized algorithm and use a heuristic parameter optimization method to solve this (algorithmically very challenging) problem. Namely, we apply local search to determine a good choice of the parameters. The efficiency of the proposed method is demonstrated by intensive computer experiments on appropriate modifications of benchmark instances.

KW - Bin covering

KW - Bin packing

KW - Metaheuristics

UR - http://www.scopus.com/inward/record.url?scp=85129178012&partnerID=8YFLogxK

U2 - 10.1007/s10100-022-00798-1

DO - 10.1007/s10100-022-00798-1

M3 - Article

AN - SCOPUS:85129178012

VL - 31.2023

SP - 21

EP - 47

JO - Central European Journal of Operations Research

JF - Central European Journal of Operations Research

SN - 1435-246X

IS - March

ER -