<div class="csl-bib-body">
<div class="csl-entry">Gjergji, I., Kletzander, L., Musliu, N., & Schaerf, A. (2025). Large Neighborhood Search for Capacitated Facility Location with Customer Incompatibilities. In G. Ochoa (Ed.), <i>GECCO ’25: Proceedings of the Genetic and Evolutionary Computation Conference</i> (pp. 213–221). ACM. https://doi.org/10.1145/3712256.3726355</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/221526
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dc.description.abstract
A new variant of the classic capacitated facility location problem, which considers incompatibilities between customers, has recently been introduced in the literature. This problem captures the situation where given pairs of customers cannot be served by the same facility. Such a feature is crucial for many practical cases of location problems, such as the presence of hazardous or polluting materials or contention between competing costumers. In this paper, we propose a Large Neighborhood Search (LNS) method to solve this problem. Within the framework of LNS, we introduce three different destroy operators and we use an exact solver in the repair phase. We critically analyze the effectiveness and the efficiency of both destroy and repair operators. The experimental analysis shows that our new method outperforms existing state-of-the-art metaheuristics, providing new best solutions for all available benchmark instances.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.subject
discrete optimization
en
dc.subject
facility location problem
en
dc.subject
large neighborhood search
en
dc.title
Large Neighborhood Search for Capacitated Facility Location with Customer Incompatibilities
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Udine, Italy
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dc.relation.isbn
979-8-4007-1465-8
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dc.relation.doi
10.1145/3712256
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dc.description.startpage
213
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dc.description.endpage
221
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dc.relation.grantno
I5443-N
-
dc.type.category
Full-Paper Contribution
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tuw.booktitle
GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference
-
tuw.peerreviewed
true
-
tuw.relation.publisher
ACM
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tuw.project.title
Reverse supply chain of residual wood biomass
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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tuw.publication.orgunit
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
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tuw.publisher.doi
10.1145/3712256.3726355
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dc.description.numberOfPages
9
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tuw.author.orcid
0000-0002-2100-7733
-
tuw.author.orcid
0000-0002-3992-8637
-
tuw.author.orcid
0000-0001-6965-0536
-
tuw.event.name
GECCO '25: Genetic and Evolutionary Computation Conference
en
tuw.event.startdate
14-07-2025
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tuw.event.enddate
18-07-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Malaga
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tuw.event.country
ES
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tuw.event.presenter
Kletzander, Lucas
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
80
-
wb.sciencebranch.value
20
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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item.openairetype
conference paper
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item.fulltext
no Fulltext
-
item.languageiso639-1
en
-
item.grantfulltext
none
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence