{
  "abstract": "An evaluated candidate can improve a local search step, alter the population used by later steps, and affect a solver's final result. We distinguish these three questions using Da Gou Gun Optimization (DGO), a population optimizer designed for this study. Its JQ100 configuration evaluates an interpolation candidate during a two-sided probe. We define local budget value, population commitment effects and complete-policy performance, and give an exact example in which a locally better commitment leads to a worse continuation. Short-horizon matched comparisons favor interpolation on eligible quadratic states. Paired continuations yield mixed effect estimates, with primary group intervals spanning zero. Complete-policy comparisons favor JQ100 over the tested classical references in aggregate; a matched-start comparison has favorable means but intervals spanning parity. On 24 boxed BBOB functions, target-truncated geometric-mean error ratios favor JQ100 over the tested classical policies and favor L-SHADE and CMA-ES over JQ100 under the stated initialization and stopping rules. Local evaluation gains, commitment effects and solver competitiveness therefore require separate comparisons.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.41099",
  "author_total": 1,
  "authors": [
    {
      "name": "Shiqi Li"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/em5vm07w3m4e4.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.41099",
  "fulltext_url": null,
  "id": "em5vm07w3m4e4",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.41099",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.NE"
    ],
    [
      "arxiv",
      "math.OC"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2610.41099",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-30",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/em5vm07w3m4e4.ris",
  "sources": [
    {
      "first_seen": "2026-11-02T12:21:20Z",
      "native_id": "2610.41099",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.41099"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.OC",
      "subfield": "optimisation-control"
    }
  ],
  "title": "Local Budget Benefits, Population Commitment, and Solver Performance: A DGO Case Study with Controlled DE Transfer",
  "title_text": "Local Budget Benefits, Population Commitment, and Solver Performance: A DGO Case Study with Controlled DE Transfer",
  "type": "preprint",
  "updated_at": "2026-11-04T15:20:52Z",
  "url": "https://research.draconitic.com/paper/em5vm07w3m4e4",
  "venue": "arXiv",
  "versions": []
}