<div class="csl-bib-body">
<div class="csl-entry">Maschler, J., Hackl, T., Riedler, M., & Raidl, G. (2017). An Enhanced Iterated Greedy Metaheuristic for the Particle Therapy Patient Scheduling Problem. In <i>Proceedings of the 12th Metaheuristics International Conference (MIC 2017)</i> (pp. 463–472). http://hdl.handle.net/20.500.12708/57298</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/57298
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dc.description.abstract
The Particle Therapy Patient Scheduling Problem (PTPSP) arises in modern cancer treatment
facilities that provide particle therapy and consists of scheduling a set of therapies within a planning
horizon of several months. A particularity of PTPSP compared to classical radiotherapy scheduling
is that therapies need not only be assigned to days but also scheduled within each day to account
for the more complicated operational scenario. In an earlier work we introduced this novel problem
setting and provided first algorithms including an Iterated Greedy (IG) metaheuristic. In this work
we build upon this IG and exchange two main components: the construction phase and the local
search algorithm. The resulting metaheuristic enhances the existing approach and yields in most of
the considered benchmark instances substantially better results.
en
dc.language.iso
en
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dc.title
An Enhanced Iterated Greedy Metaheuristic for the Particle Therapy Patient Scheduling Problem
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.description.startpage
463
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dc.description.endpage
472
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the 12th Metaheuristics International Conference (MIC 2017)
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tuw.peerreviewed
true
-
tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
-
tuw.publication.orgunit
E192-01 - Forschungsbereich Algorithms and Complexity
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dc.description.numberOfPages
10
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tuw.event.name
12th Metaheuristics International Conference
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tuw.event.startdate
04-07-2017
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tuw.event.enddate
07-07-2017
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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
Barcelona
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tuw.event.country
ES
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tuw.event.presenter
Maschler, Johannes
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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.presentation.type
science to science/art to art
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
none
-
item.fulltext
no Fulltext
-
item.cerifentitytype
Publications
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
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crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity
-
crisitem.author.dept
TU Wien
-
crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity
-
crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity