{
  "abstract": "Minimum distance constraints (minDCs) appear in many geometric optimization problems. They pose major challenges for mixed-integer nonlinear programming (MINLP) due to their reverse-convexity. We develop new algorithms for tightening variable bounds in general MINLPs with minDCs. Because many such problems exhibit substantial symmetry, we further discuss an approach for handling rotation symmetries. In a computational study, we examine the performance of the various methods and determine the scenarios in which each approach demonstrates superiority.",
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  "article_type": null,
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  "author_total": 2,
  "authors": [
    {
      "name": "Christopher Hojny"
    },
    {
      "name": "Leo Liberti"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2zv215br3xz5m.bib",
  "cited_by": 0,
  "doi": "10.1016/j.orl.2026.107533",
  "fulltext_url": null,
  "id": "2zv215br3xz5m",
  "issns": [
    "0167-6377",
    "1872-7468"
  ],
  "landing_url": "https://hal.science/hal-05775997v1",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
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  "pdf_url": "https://hal.science/hal-05775997/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-02",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/2zv215br3xz5m.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:46Z",
      "native_id": "hal-05775997",
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      "url": "https://hal.science/hal-05775997v1"
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  "subjects": [
    {
      "field": "mathematics",
      "origin": "hal:1.math.math-oc",
      "subfield": "optimisation-control"
    }
  ],
  "title": "A computational comparison of handling distance constraints in MINLP",
  "title_text": "A computational comparison of handling distance constraints in MINLP",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:46Z",
  "url": "https://research.draconitic.com/paper/2zv215br3xz5m",
  "venue": "Operations Research Letters",
  "versions": []
}