2601.11325v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "c2a526c67bd6e44a324fe445f04283e4dcdb0df2ba23748782a9a966be14d839",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.11325v1.pdf",
      "size": 2303189
    },
    "source": {
      "execution_id": "6e276005-37ef-4362-8c6d-69718c09decb",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-19T01:47:29Z",
      "keywords": [
        "genetic algorithms",
        "3D bin packing",
        "multi-objective optimization",
        "industrial logistics",
        "metaheuristics",
        "chromosome encoding"
      ],
      "modified_date": "2026-01-19T01:47:29Z",
      "page_count": 10,
      "producer": "pikepdf 8.15.1",
      "title": "GENPACK: KPI-Guided Multi-Objective Genetic Algorithm for Industrial 3D Bin Packing",
      "version": "1.7"
    },
    "source": {
      "execution_id": "e22d511e-bdb8-4552-8580-9e4bea5080ee",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}