BA-NSGA

Name	BA-NSGA JSON
Version	0.0.4.8 JSON
	download
home_page	None
Summary	A high-dimensional evolutionary structure explorer library
upload_time	2025-07-15 12:45:55
maintainer	None
docs_url	None
author	Juan Manuel Lombardi
requires_python	None
license	MIT
keywords	evolutionary optimization high-dimensional structure explorer genetic algorithm
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "BA-NSGA",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "evolutionary optimization high-dimensional structure explorer genetic algorithm",
    "author": "Juan Manuel Lombardi",
    "author_email": "lombardi@fhi-berlin.mpg.de",
    "download_url": "https://files.pythonhosted.org/packages/7b/b1/ff2d740c702b44ded71cbca3ee7a02ff11187b9cb37c61088512f09df316/ba_nsga-0.0.4.8.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "A high-dimensional evolutionary structure explorer library",
    "version": "0.0.4.8",
    "project_urls": null,
    "split_keywords": [
        "evolutionary",
        "optimization",
        "high-dimensional",
        "structure",
        "explorer",
        "genetic",
        "algorithm"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "842d31b681ea0cf90de704fc712b1fa906d7722740c8b532003e783167265d7c",
                "md5": "fd933ed4a0615bd15b18ad10a710cc52",
                "sha256": "4881a5df0f79d9aab2b80b35667521fcaa29a14f781aaece98ab2ba4cf3ab606"
            },
            "downloads": -1,
            "filename": "BA_NSGA-0.0.4.8-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "fd933ed4a0615bd15b18ad10a710cc52",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 246210,
            "upload_time": "2025-07-15T12:45:54",
            "upload_time_iso_8601": "2025-07-15T12:45:54.064151Z",
            "url": "https://files.pythonhosted.org/packages/84/2d/31b681ea0cf90de704fc712b1fa906d7722740c8b532003e783167265d7c/BA_NSGA-0.0.4.8-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7bb1ff2d740c702b44ded71cbca3ee7a02ff11187b9cb37c61088512f09df316",
                "md5": "fd7974f4380cb3e289a5854ebba906b3",
                "sha256": "8b9e5c7a126fb379175b24012e275218928a98d07344ee816059b628e0dce80d"
            },
            "downloads": -1,
            "filename": "ba_nsga-0.0.4.8.tar.gz",
            "has_sig": false,
            "md5_digest": "fd7974f4380cb3e289a5854ebba906b3",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 187600,
            "upload_time": "2025-07-15T12:45:55",
            "upload_time_iso_8601": "2025-07-15T12:45:55.718414Z",
            "url": "https://files.pythonhosted.org/packages/7b/b1/ff2d740c702b44ded71cbca3ee7a02ff11187b9cb37c61088512f09df316/ba_nsga-0.0.4.8.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-07-15 12:45:55",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "ba-nsga"
}