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https://github.com/jungstershark/p-median-problem
The P-Median Problem project uses metaheuristic optimization to solve the p-median location problem, with Jupyter notebooks implementing random sampling and local search algorithms to minimize service distances.
https://github.com/jungstershark/p-median-problem
alogorithms jupyter-notebook local-search metaheuristic metaheuristic-algorithms metaheuristic-optimisation metaheuristics optimization optimization-algorithms optimization-methods p-median p-median-problem python python3 random-sampling
Last synced: 12 days ago
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The P-Median Problem project uses metaheuristic optimization to solve the p-median location problem, with Jupyter notebooks implementing random sampling and local search algorithms to minimize service distances.
- Host: GitHub
- URL: https://github.com/jungstershark/p-median-problem
- Owner: Jungstershark
- License: apache-2.0
- Created: 2023-10-08T08:22:02.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-08-29T07:08:04.000Z (3 months ago)
- Last Synced: 2024-08-30T08:36:43.935Z (3 months ago)
- Topics: alogorithms, jupyter-notebook, local-search, metaheuristic, metaheuristic-algorithms, metaheuristic-optimisation, metaheuristics, optimization, optimization-algorithms, optimization-methods, p-median, p-median-problem, python, python3, random-sampling
- Language: Jupyter Notebook
- Homepage: https://github.com/Jungstershark/P-Median-Problem
- Size: 3.05 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0