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  <doc>
    <id>4338</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2013-12-18</completedDate>
    <publishedDate>2013-12-18</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Multiband Robust Optimization and its Adoption in Harvest Scheduling</title>
    <abstract language="eng">A central assumption in classical optimization is that all the input data of a&#13;
problem are exact. However, in many real-world problems, the input data are subject&#13;
to uncertainty. In such situations, neglecting uncertainty may lead to nominally optimal&#13;
solutions that are actually suboptimal or even infeasible. Robust optimization&#13;
offers a remedy for optimization under uncertainty by considering only the subset of&#13;
solutions protected against the data deviations. In this paper, we provide an overview&#13;
of the main theoretical results of multiband robustness, a new robust optimization&#13;
model that extends and refines the classical theory introduced by Bertsimas and Sim.&#13;
After introducing some new results for the special case of pure binary programs, we&#13;
focus on the harvest scheduling problem and show how multiband robustness can&#13;
be adopted to tackle the uncertainty affecting the volume of produced timber and&#13;
grant a reduction in the price of robustness.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-43380</identifier>
    <author>Fabio D'Andreagiovanni</author>
    <submitter>Fabio D'Andreagiovanni</submitter>
    <author>Annie Raymond</author>
    <series>
      <title>ZIB-Report</title>
      <number>13-76</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data Uncertainty</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Robust Optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multiband Robustness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Harvest Scheduling</value>
    </subject>
    <collection role="msc" number="68-XX">COMPUTER SCIENCE (For papers involving machine computations and programs in a specific mathematical area, see Section -04 in that area)</collection>
    <collection role="msc" number="90-XX">OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING</collection>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="institutes" number="tele">Mathematics of Telecommunication</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/4338/ZR-13-76_RobustHarvestScheduling_DAndreagiovanniRaymond.pdf</file>
  </doc>
</export-example>
