<div class="csl-bib-body">
<div class="csl-entry">Mugdan, E., Frohner, N., Kletzander, L., & Musliu, N. (2024, October 20). <i>Towards Multi-Objective Optimization for Rotating Workforce Scheduling</i> [Conference Presentation]. Multi-Objective Decision Making Workshop at ECAI 2024, Santiago de compostela, Spain. http://hdl.handle.net/20.500.12708/208780</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/208780
-
dc.description.abstract
While the satisfaction version of the Rotating Workforce
Scheduling (RWS) problem has been extensively studied, real-life
applications of the problem often require the study of an optimiza-
tion variant, considering stakeholder preferences. This requires the
use of multi-objective methods to solve the problem. In particular,
the introduction of soft constraints often leads to conflicting objec-
tives and, therefore, to a large pool of solutions of varying quality in
different dimensions. Hence, it is important to be able to find suitable
solutions that best meet the requirements for conflicting objectives.
We propose the use of Pareto Simulated Annealing (PSA) to solve
the optimization variant of RWS. This allows us to study large sets
of solutions that approximate the Pareto front. Specifically, different
solutions and the relations between soft constraints can be analyzed.
In addition, this approach allows stakeholders to choose solutions
that best meet the desired properties and comprehend which trade-
offs must be made when trying to optimize conflicting objectives.
en
dc.description.sponsorship
Christian Doppler Forschungsgesells
-
dc.language.iso
en
-
dc.subject
Rotating Workforce Scheduling (RWS)
en
dc.subject
Pareto Simulated Annealing (PSA)
en
dc.subject
Constraint programming (CP)
en
dc.title
Towards Multi-Objective Optimization for Rotating Workforce Scheduling
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.relation.grantno
keine Angabe
-
dc.type.category
Conference Presentation
-
tuw.project.title
CD Labor für Künstliche Intelligenz und Optimierung in Planung und Scheduling
-
tuw.researchTopic.id
I1
-
tuw.researchTopic.name
Logic and Computation
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
tuw.publication.orgunit
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
-
tuw.author.orcid
0000-0002-2100-7733
-
tuw.author.orcid
0000-0002-3992-8637
-
tuw.event.name
Multi-Objective Decision Making Workshop at ECAI 2024
en
tuw.event.startdate
20-10-2024
-
tuw.event.enddate
20-10-2024
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Santiago de compostela
-
tuw.event.country
ES
-
tuw.event.presenter
Mugdan, Esther
-
tuw.event.track
Multi Track
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Mathematik
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.value
80
-
wb.sciencebranch.value
20
-
item.grantfulltext
none
-
item.openairetype
conference paper not in proceedings
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cp
-
item.languageiso639-1
en
-
item.fulltext
no Fulltext
-
item.cerifentitytype
Publications
-
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
