B5G-network-planning-algorithms/codemeta.json at main · breezy-codes/B5G-network-planning-algorithms · GitHub

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{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "type": "SoftwareSourceCode",
    "author": [
        {
            "id": "https://orcid.org/0009-0005-9841-3691",
            "type": "Person",
            "affiliation": {
                "type": "Organization",
                "name": "Deakin University"
            },
            "email": "brianna.laird@deakin.edu.au",
            "familyName": "Laird",
            "givenName": "Brianna"
        },
        {
            "id": "https://orcid.org/0000-0002-0996-1081",
            "type": "Person",
            "affiliation": {
                "type": "Organization",
                "name": "Deakin University"
            },
            "email": "chathu.ranaweera@deakin.edu.au",
            "familyName": "Ranaweera",
            "givenName": "Chathurika"
        },
        {
            "id": "https://orcid.org/0000-0001-5290-8051",
            "type": "Person",
            "affiliation": {
                "type": "Organization",
                "name": "Deakin University"
            },
            "email": "julien.ugon@deakin.edu.au",
            "familyName": "Ugon",
            "givenName": "Julien"
        }
    ],
    "codeRepository": "https://github.com/breezy-codes/B5G-network-planning-algorithms",
    "dateCreated": "2025-02-05",
    "dateModified": "2025-09-18",
    "datePublished": "2025-09-18",
    "description": "Implementations of GEGASM, GEGA, greedy heuristics, and CPLEX-based optimisation approaches for B5G optical x-haul and O-RAN network planning.",
    "downloadUrl": "https://github.com/breezy-codes/B5G-network-planning-algorithms/releases",
    "keywords": [
        "genetic algorithm",
        "network planning",
        "graph theory",
        "MILP",
        "operations research",
        "heuristics"
    ],
    "license": "https://spdx.org/licenses/GPL-3.0",
    "name": "B5G Network Planning Algorithms",
    "programmingLanguage": "Python",
    "relatedLink": [
        "https://doi.org/10.1364/JOCN.567406",
        "https://doi.org/10.1364/OFC.2025.M1I.3"
    ],
    "softwareRequirements": "https://www.ibm.com/products/ilog-cplex-optimization-studio",
    "version": "1.0.0"
}