Essec\Faculty\Model\Contribution {#2220
  #_index: "academ_contributions"
  #_id: "16369"
  #_source: array:26 [
    "id" => 16369
    "slug" => "16369-bobilib-bilevel-optimization-benchmark-instance-library"
    "yearMonth" => "2026-03"
    "year" => 2026
    "title" => "BOBILib: Bilevel Optimization (Benchmark) Instance Library"
    "description" => "THÜRAUF, J., KLEINERT, T., LJUBIC, I., RALPHS, T. et SCHMIDT, M. (2026). BOBILib: Bilevel Optimization (Benchmark) Instance Library. <i>Mathematical Programming Computation</i>, In press."
    "authors" => array:5 [
      0 => array:3 [
        "name" => "LJUBIC Ivana"
        "bid" => "B00683004"
        "slug" => "ljubic-ivana"
      ]
      1 => array:1 [
        "name" => "Thürauf Johannes"
      ]
      2 => array:1 [
        "name" => "Kleinert Thomas"
      ]
      3 => array:1 [
        "name" => "Ralphs Ted"
      ]
      4 => array:1 [
        "name" => "SCHMIDT Martin"
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:5 [
      0 => "Mixed integer bilevel linear optimization"
      1 => "Benchmarking"
      2 => "Instance library"
      3 => "Problem instances"
      4 => "Computational optimization"
    ]
    "updatedAt" => "2026-04-07 11:30:50"
    "publicationUrl" => "https://doi.org/10.1007/s12532-025-00294-y"
    "publicationInfo" => array:3 [
      "pages" => ""
      "volume" => "In press"
      "number" => ""
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "In this report, we present the BOBILib, a collection of more than 2600 instances of mixed integer bilevel linear optimization problems (MIBLPs). The goal of this library is to provide a large and well-curated set of test instances freely available for the research community so that new and existing algorithms in bilevel optimization can be tested and compared in a standardized way. The library is sub-divided into instances of different types and also contains different benchmark instance sets. Moreover, we present a new data format for MIBLPs that is less error-prone compared to an older format that will now be deprecated. We provide numerical results for all instances of the library using available bilevel solvers. Based on these numerical results, we select benchmark instance sets, which provide a meaningful basis for experimental comparisons of solution methods in a moderate time. The instances, together with solution files, can be downloaded at https://bobilib.org."
      "en" => "In this report, we present the BOBILib, a collection of more than 2600 instances of mixed integer bilevel linear optimization problems (MIBLPs). The goal of this library is to provide a large and well-curated set of test instances freely available for the research community so that new and existing algorithms in bilevel optimization can be tested and compared in a standardized way. The library is sub-divided into instances of different types and also contains different benchmark instance sets. Moreover, we present a new data format for MIBLPs that is less error-prone compared to an older format that will now be deprecated. We provide numerical results for all instances of the library using available bilevel solvers. Based on these numerical results, we select benchmark instance sets, which provide a meaningful basis for experimental comparisons of solution methods in a moderate time. The instances, together with solution files, can be downloaded at https://bobilib.org."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2026-04-11T04:23:19.000Z"
    "docTitle" => "BOBILib: Bilevel Optimization (Benchmark) Instance Library"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/ljubic-ivana">LJUBIC Ivana</a>, Thürauf Johannes, Kleinert Thomas, Ralphs Ted, SCHMIDT Martin"
    "docDescription" => "<span class="document-property-authors">LJUBIC Ivana, Thürauf Johannes, Kleinert Thomas, Ralphs Ted, SCHMIDT Martin</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2026</span>"
    "keywordList" => "<a href="#">Mixed integer bilevel linear optimization</a>, <a href="#">Benchmarking</a>, <a href="#">Instance library</a>, <a href="#">Problem instances</a>, <a href="#">Computational optimization</a>"
    "docPreview" => "<b>BOBILib: Bilevel Optimization (Benchmark) Instance Library</b><br><span>2026-03 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1007/s12532-025-00294-y" target="_blank">BOBILib: Bilevel Optimization (Benchmark) Instance Library</a>"
  ]
  +lang: "en"
  +"_score": 8.997807
  +"_ignored": array:2 [
    0 => "abstract.en.keyword"
    1 => "abstract.fr.keyword"
  ]
  +"parent": null
}