dynamic-moops


Namedynamic-moops JSON
Version 0.0.1.dev0 PyPI version JSON
download
home_pageNone
SummaryA mathematical implementation of dynamic MOO problems for a practical problem typically involving conflicting objectives.
upload_time2024-05-14 18:19:35
maintainerNone
docs_urlNone
authorshark-utilities developers
requires_python>=3.8
licenseNone
keywords dynamic multi-objective optimization data science data analysis data scientist data analyst statistics
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <h1 align = "center">dynMOOPs</h1>

<div align = "center"></div>

<div align = "justify">

A mathematical implementation of the classical **Dynamic Multi-Objective Optimization Problems (`dynMOOPs`)** for practical problems
that typically involves a set of conflicting objectives. In addition, the method allows penalty on premiumization (typically for costing) and
appreciations (typically for objectives involving maximization) methods for control.

</div>

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "dynamic-moops",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": "dynamic, multi-objective, optimization, data science, data analysis, data scientist, data analyst, statistics",
    "author": "shark-utilities developers",
    "author_email": "neuralNOD@outlook.com",
    "download_url": "https://files.pythonhosted.org/packages/cf/62/0b81990b40a24f33afea22c39b818a840abadabc1fa5423212f6a3160b4f/dynamic-moops-0.0.1.dev0.tar.gz",
    "platform": null,
    "description": "<h1 align = \"center\">dynMOOPs</h1>\n\n<div align = \"center\"></div>\n\n<div align = \"justify\">\n\nA mathematical implementation of the classical **Dynamic Multi-Objective Optimization Problems (`dynMOOPs`)** for practical problems\nthat typically involves a set of conflicting objectives. In addition, the method allows penalty on premiumization (typically for costing) and\nappreciations (typically for objectives involving maximization) methods for control.\n\n</div>\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "A mathematical implementation of dynamic MOO problems for a practical problem typically involving conflicting objectives.",
    "version": "0.0.1.dev0",
    "project_urls": {
        "Org. Homepage": "https://github.com/sharkutilities"
    },
    "split_keywords": [
        "dynamic",
        " multi-objective",
        " optimization",
        " data science",
        " data analysis",
        " data scientist",
        " data analyst",
        " statistics"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "499df79dd9733149daf61040392b0cad827d3fb6553263856f8d89905a75e696",
                "md5": "2fb749f507d4c25ece34d5651fe44630",
                "sha256": "6cbbe99cabd1caefd312a39f144929a7b78a131b1eed2aca307642b107211a00"
            },
            "downloads": -1,
            "filename": "dynamic_moops-0.0.1.dev0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "2fb749f507d4c25ece34d5651fe44630",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 2189,
            "upload_time": "2024-05-14T18:19:33",
            "upload_time_iso_8601": "2024-05-14T18:19:33.680330Z",
            "url": "https://files.pythonhosted.org/packages/49/9d/f79dd9733149daf61040392b0cad827d3fb6553263856f8d89905a75e696/dynamic_moops-0.0.1.dev0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "cf620b81990b40a24f33afea22c39b818a840abadabc1fa5423212f6a3160b4f",
                "md5": "84258a75b73cb712cbdbbb8a83c58fbd",
                "sha256": "aaab3a50e3c1411f91699611f9d8d13d8d638ca56ee886fd93c4fbb310b078f9"
            },
            "downloads": -1,
            "filename": "dynamic-moops-0.0.1.dev0.tar.gz",
            "has_sig": false,
            "md5_digest": "84258a75b73cb712cbdbbb8a83c58fbd",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 2364,
            "upload_time": "2024-05-14T18:19:35",
            "upload_time_iso_8601": "2024-05-14T18:19:35.698439Z",
            "url": "https://files.pythonhosted.org/packages/cf/62/0b81990b40a24f33afea22c39b818a840abadabc1fa5423212f6a3160b4f/dynamic-moops-0.0.1.dev0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-14 18:19:35",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "dynamic-moops"
}
        
Elapsed time: 0.26219s