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    <id>10188</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>397</pageFirst>
    <pageLast>402</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
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    <title language="eng">Scaling and Rounding Periodic Event Scheduling Instances to Different Period Times</title>
    <abstract language="eng">The Periodic Event Scheduling Problem (PESP) is a notoriously hard combinatorial optimization problem, essential for the design of periodic timetables in public transportation. The coefficients of the integer variables in the standard mixed integer linear programming formulations of PESP are the period time, e.g., 60 for a horizon of one hour with a resolution of one minute. In many application scenarios, lines with different frequencies have to be scheduled, leading to period times with many divisors. It then seems natural to consider derived instances, where the period time is a divisor of the original one, thereby smaller, and bounds are scaled and rounded accordingly. To this end, we identify two rounding schemes: wide and tight. We then discuss the approximation performance of both strategies, in theory and practice.</abstract>
    <parentTitle language="eng">Operations Research Proceedings 2023</parentTitle>
    <identifier type="doi">10.1007/978-3-031-58405-3_51</identifier>
    <enrichment key="Series">Lecture Notes in Operations Research</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-92315</enrichment>
    <enrichment key="AcceptedDate">2023-11-02</enrichment>
    <author>Enrico Bortoletto</author>
    <submitter>Niels Lindner</submitter>
    <editor>Guido Voigt</editor>
    <author>Niels Lindner</author>
    <editor>Malte Fliedner</editor>
    <editor>Knut Haase</editor>
    <editor>Wolfgang Brüggemann</editor>
    <editor>Kai Hoberg</editor>
    <editor>Jörn Meissner</editor>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="lindner">Lindner, Niels</collection>
    <collection role="persons" number="bortoletto">Bortoletto, Enrico</collection>
    <collection role="institutes" number="neo">Network Optimization</collection>
    <collection role="projects" number="MODAL-MobilityLab">MODAL-MobilityLab</collection>
    <collection role="projects" number="Mathplus-PaA3">Mathplus-PaA3</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
</export-example>
