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  <doc>
    <id>7908</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>4</volume>
    <type>book</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Mathematical Optimization for Efficient and Robust Energy Networks</title>
    <identifier type="isbn">978-3-030-57441-3</identifier>
    <identifier type="doi">10.1007/978-3-030-57442-0</identifier>
    <enrichment key="Series">AIRO Springer Series</enrichment>
    <author>Natalia Selini Hadjidimitriou</author>
    <editor>Natalia Selini Hadjidimitriou</editor>
    <submitter> Jansen</submitter>
    <author>Antonio Frangioni</author>
    <editor>Antonio Frangioni</editor>
    <author>Andrea Lodi</author>
    <editor>Andrea Lodi</editor>
    <author>Thorsten Koch</author>
    <editor>Thorsten Koch</editor>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="institutes" number="Mathematical Algorithmic Intelligence">Mathematical Algorithmic Intelligence</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="projects" number="">EU COST TD1207</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>7807</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
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    <edition/>
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    <type>reportzib</type>
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    <completedDate>--</completedDate>
    <publishedDate>2020-03-23</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Novel Modular Optimization Framework for Modelling Investment and Operation of Energy Systems at European Level</title>
    <abstract language="eng">Project plan4res (www.plan4res.eu) involves the development of a modular framework for the modeling and analysis of energy system strategies at the European level. It will include models describing the investment and operation decisions for a wide variety of technologies related to electricity and non-electricity energy sectors across generation, consumption, transmission and distribution. The modularity of the framework allows for detailed modelling of major areas of energy systems that can help stakeholders from different backgrounds to focus on specific topics related to the energy landscape in Europe and to receive relevant outputs and insights tailored to their needs. The current paper presents a qualitative description of key concepts and methods of the novel modular optimization framework and provides insights into the corresponding energy landscape.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-78079</identifier>
    <author>Dieter Most</author>
    <submitter>Inci Yueksel-Erguen</submitter>
    <author>Spyros Giannelos</author>
    <author>Inci Yueksel-Erguen</author>
    <author>Daniel Beulertz</author>
    <author>Utz-Uwe Haus</author>
    <author>Sandrine Charousset-Brignol</author>
    <author>Antonio Frangioni</author>
    <series>
      <title>ZIB-Report</title>
      <number>20-08</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>energy systems analysis and optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>simulation and planning under uncertainty</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>renewables integration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sector coupling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>climate change impact</value>
    </subject>
    <collection role="institutes" number="enernet">Energy Network Optimization</collection>
    <collection role="persons" number="yueksel-erguen">Yüksel-Ergün, Inci</collection>
    <collection role="projects" number="plan4res">Plan4res</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/7807/ZIBReport20-08.pdf</file>
  </doc>
  <doc>
    <id>8570</id>
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    <publishedYear>2021</publishedYear>
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    <language>eng</language>
    <pageFirst>113</pageFirst>
    <pageLast>116</pageLast>
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    <edition/>
    <issue/>
    <volume>9</volume>
    <type>other</type>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2021-04-09</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Synergistic approach of multi-energy models for a European optimal energy system management tool</title>
    <parentTitle language="eng">The Project Repository Journal</parentTitle>
    <enrichment key="PeerReviewed">no</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="FulltextUrl">https://www.europeandissemination.eu/project-repository-journal-volume-9-april-2021/13570</enrichment>
    <author>Sandrine Charousset-Brignol</author>
    <submitter>Inci Yüksel-Ergün</submitter>
    <author>Wim van Ackooij</author>
    <author>Nadia Oudjane</author>
    <author>Dominique Daniel</author>
    <author>Slimane Noceir</author>
    <author>Utz-Uwe Haus</author>
    <author>Alfio Lazzaro</author>
    <author>Antonio Frangioni</author>
    <author>Rafael Lobato</author>
    <author>Ali Ghezelsoflu</author>
    <author>Niccolò Iardella</author>
    <author>Laura Galli</author>
    <author>Enrico Gorgone</author>
    <author>Mauro dell’Amico</author>
    <author>Spyros Giannelos</author>
    <author>Alex Moreira</author>
    <author>Goran Strbac</author>
    <author>Stefan Borozan</author>
    <author>Paula Falugi</author>
    <author>Danny Pudjianto</author>
    <author>Lothar Wyrwoll</author>
    <author>Carlo Schmitt</author>
    <author>Marco Franken</author>
    <author>Daniel Beulertz</author>
    <author>Henrik Schwaeppe</author>
    <author>Dieter Most</author>
    <author>Inci Yüksel-Ergün</author>
    <author>Janina Zittel</author>
    <author>Thorsten Koch</author>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="persons" number="zittel">Zittel, Janina</collection>
    <collection role="persons" number="yueksel-erguen">Yüksel-Ergün, Inci</collection>
    <collection role="projects" number="plan4res">Plan4res</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>6755</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>237</pageFirst>
    <pageLast>265</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>11</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2018-09-22</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">QPLIB: A Library of Quadratic Programming Instances</title>
    <abstract language="eng">This paper describes a new instance library for Quadratic Programming (QP), i.e., the family of continuous and (mixed)-integer optimization problems where the objective function, the constrains, or both are quadratic. QP is a very diverse class of problems, comprising sub-classes of problems ranging from trivial to undecidable. This diversity is reflected in the variety of solution methods for QP, ranging from entirely combinatorial ones to completely continuous ones, including many for which both aspects are fundamental. Selecting a set of instances of QP that is at the same time not overwhelmingly onerous but sufficiently challenging for the many different interested communities is therefore important. We propose a simple taxonomy for QP instances that leads to a systematic problem selection mechanism. We then briefly survey the field of QP, giving an overview of theory, methods and solvers. Finally, we describe how the library was put together, and detail its final contents.</abstract>
    <parentTitle language="eng">Mathematical Programming Computation</parentTitle>
    <identifier type="doi">10.1007/s12532-018-0147-4</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Fabio Furini</author>
    <submitter>Ambros Gleixner</submitter>
    <author>Emiliano Traversi</author>
    <author>Pietro Belotti</author>
    <author>Antonio Frangioni</author>
    <author>Ambros Gleixner</author>
    <author>Nick Gould</author>
    <author>Leo Liberti</author>
    <author>Andrea Lodi</author>
    <author>Ruth Misener</author>
    <author>Hans Mittelmann</author>
    <author>Nikolaos V. Sahinidis</author>
    <author>Stefan Vigerske</author>
    <author>Angelika Wiegele</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="institutes" number="mip">Mathematical Optimization Methods</collection>
    <collection role="persons" number="vigerske">Vigerske, Stefan</collection>
    <collection role="projects" number="MIP-ZIBOPT">MIP-ZIBOPT</collection>
    <collection role="projects" number="MODAL-SynLab">MODAL-SynLab</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>9487</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>incollection</type>
    <publisherName/>
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    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Algorithm configuration problem</title>
    <parentTitle language="eng">Encyclopedia of Optimization</parentTitle>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Gabriele Iommazzo</author>
    <submitter>Christoph Spiegel</submitter>
    <author>Claudia D'Ambrosio</author>
    <author>Antonio Frangioni</author>
    <author>Leo Liberti</author>
    <collection role="institutes" number="ais2t">AI in Society, Science, and Technology</collection>
  </doc>
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