{
  "id": 19439217,
  "title": "Tailoring Optimization Approaches with Domain Knowledge in Industry Process for Meta-heuristic Development",
  "url": "https://urgent.news/2026/11/10/tailoring-optimization-approaches-with-domain-knowledge-in-industry",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-10T11:24:26.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.13940v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The paper presents an Industry Process for Meta-heuristic Development (IPMD) schema, a systematic methodology for applying meta- and hyper-heuristic applications to optimization problems. In this context, we present a case study of Balancing Non-dominated Tournament Genetic Programming (BNTGP) applied to solve two NP-hard multi-objective optimization problems: routing (Capacitated Vehicle Routing…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}