https://github.com/rampadc/multi-obj-cplex-python

https://github.com/rampadc/multi-obj-cplex-python

cplex multi-objective-optimization python

Last synced: 8 days ago
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• Host: GitHub
• URL: https://github.com/rampadc/multi-obj-cplex-python
• Owner: rampadc
• Created: 2021-01-04T13:23:04.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-01-07T13:25:44.000Z (about 4 years ago)
• Last Synced: 2024-11-22T18:39:02.089Z (2 months ago)
• Topics: cplex, multi-objective-optimization, python
• Language: Jupyter Notebook
• Homepage:
• Size: 35.2 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Multi-objective Optimisation with DOcplex and Watson Machine Learning

This repository include accompanying code samples to the blog post [Multi-objective Optimisation with IBM ILOG CPLEX - Part 2](https://congx.dev/posts/multiobjective-optimisation-with-ibm-ilog-cplex-2/).

## Getting Started

1. Install the community desktop version for IBM ILOG CPLEX Optimization Studio from [IBM ILOG CPLEX website](https://www.ibm.com/au-en/products/ilog-cplex-optimization-studio).

2. Setup DOplex on your local machine per IBM's instructions

3. Clone the repository into a folder. 

3. Install the dependencies in requirements.txt

4. Run Jupyter Lab in the folder you cloned. Run the files to explore the code.

For `05-run-optimisation-job.ipynb`, you will need to have an active Watson Machine Learning instance up and running. A lite plan will do.