pyomo
Pyomo respository provides a comprehensive library of solved models in Supply chain management
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.6%) to scientific vocabulary
Keywords
Repository
Pyomo respository provides a comprehensive library of solved models in Supply chain management
Basic Info
- Host: GitHub
- Owner: OptimizationExpert
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://www.linkedin.com/newsletters/optimization-in-open-source-6874020019009859585/
- Size: 14.4 MB
Statistics
- Stars: 295
- Watchers: 14
- Forks: 44
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
About Pyomo
Pyomo is a Python-based open-source optimization modeling language. It allows you to express complex optimization problems in a simple and intuitive manner. With Pyomo, you can formulate, solve, and analyze optimization models efficiently.
What You'll Find in This Repository
In this repository, you'll discover a collection of Jupyter notebooks, each tackling a specific optimization problem. These notebooks provide a step-by-step guide, including:
- Problem Description: A clear explanation of the optimization problem at hand.
- Model Formulation: How the problem is mathematically formulated as an optimization model.
- Pyomo Implementation: Code snippets demonstrating how to implement the model in Pyomo.
- Solution: How to solve the problem using optimization solvers like Gurobi or CBC.
- Visualization and Analysis: Visual representations of results and in-depth analysis of the solutions.
LinkedIn Newsletter
https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6874020019009859585
linearprogramming
Telegram Channel ---> https://t.me/PyomoChannel
Udemy training course
discount coupon https://www.udemy.com/course/optimization-in-python/?couponCode=36C6F6B228A087695AD9
Solved Projects
| Solved Projects | | |-----------------------------|------------------------------------| | Pyomo on Neos Server | Vertex coloring | | Maximum number of points with min specified Distance | Easter photo arrangement | | Biggest circle with equal blue and green points | Student - Prof assignment | | Christmas gift- happiness maximization | Knight's Tour | | Island Detection in Graphs | Multi-curve Regression | | 7Seen Modeling in Pyomo | Number-link | | April fool's | Conquering all metro stations | | Critical Node detection | Hidato puzzle | | Edge coloring | Hashi puzzle | | Empty bucket problem | Bonairo puzzle | | Christmas gift | Shikaku puzzle | | Graph island detection | Magic Square puzzle | | Longest common sequence | Monochrome Rectangle puzzle | | Bilevel Optimization in Pyomo | TSP AddCircuit | | 15Puzzle IBM Challenge | Secret Santa | | Family Riddle Challenge | TSP with precedence | | Prime number IBM Challenge | Movie Shooring Sequence | | Master mind game CP & Pyomo | Optimal order pickup from inventory (CP) | | SUguru Puzzle CP | Shape Palacement CP | | CVRP CP | Stable Marriage CP | | LargestboxCP | Linkedin Tango_CP | | GerryMandering CP | ROGO Puzzle |
Contributing Guidelines
We encourage contributions to make this repository even more valuable. If you'd like to contribute, please follow these guidelines:
Fork the repository and create a new branch for your contribution. Ensure your code is clean, readable, and well-documented. Test your changes to guarantee their correctness and effectiveness. Submit a pull request, providing clear descriptions of your modifications and any relevant context. Let's work together to build a vibrant hub of optimization knowledge and expertise!
Owner
- Name: Optimization Expert
- Login: OptimizationExpert
- Kind: user
- Website: https://sites.google.com/site/aoroudi/
- Repositories: 1
- Profile: https://github.com/OptimizationExpert
My research area includes a wide variety of topics, ranging from the power system operation to the most complex power system expansion planning.
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: PyomoOptimization
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Alireza
family-names: Soroudi
email: alireza.soroudi@gmail.com
name-particle: Alireza
orcid: 'https://orcid.org/0000-0002-3651-6290'
identifiers:
- type: url
value: 'https://github.com/OptimizationExpert/Pyomo'
description: Pyomo repository
repository-code: 'https://github.com/OptimizationExpert/Pyomo'
url: >-
https://www.linkedin.com/newsletters/optimization-in-open-source-6874020019009859585/
keywords:
- Pyomo
- Optimization
license: MIT
GitHub Events
Total
- Watch event: 24
- Push event: 15
- Fork event: 3
Last Year
- Watch event: 24
- Push event: 15
- Fork event: 3
Committers
Last synced: almost 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Optimization Expert | o****e@g****m | 117 |
| Alireza Soroudi | a****i@g****m | 1 |
Issues and Pull Requests
Last synced: almost 2 years ago
All Time
- Total issues: 0
- Total pull requests: 5
- Average time to close issues: N/A
- Average time to close pull requests: 1 minute
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.2
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 5
- Average time to close issues: N/A
- Average time to close pull requests: 1 minute
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.2
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- OptimizationExpert (5)