https://github.com/rampadc/multi-obj-optim-prob1

IBM ILOG CPLEX problem 1: max strength minimise recruit time
https://github.com/rampadc/multi-obj-optim-prob1

decision-optimization

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IBM ILOG CPLEX problem 1: max strength minimise recruit time

• Host: GitHub
• URL: https://github.com/rampadc/multi-obj-optim-prob1
• Owner: rampadc
• Created: 2021-01-02T10:36:25.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-01-03T15:04:21.000Z (about 4 years ago)
• Last Synced: 2024-11-22T18:39:22.089Z (2 months ago)
• Topics: decision-optimization
• Language: AMPL
• Homepage: https://congx.dev/posts/multiobjective-optimisation-with-ibm-ilog-cplex-1/
• Size: 6.84 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Multi-objective Optimisation with IBM ILOG CPLEX - Problem 1

This repository include accompanying code samples to the blog post [Multi-objective Optimisation with IBM ILOG CPLEX - Part 1](https://congx.dev/posts/multiobjective-optimisation-with-ibm-ilog-cplex-1/).

## 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. Clone the repository into a folder. 

3. Once the IDE is installed, navigate to `File > Import > Existing OPL projects`.

4. Choose the cloned folder as the root directory. Select the project and click `Finish`.

There are three Run Configurations provided:

- `cp`: uses the `staticLex` method with CP Optimizer

- `cplex`: uses the `staticLexFull` method with CPLEX Optimizer

- `cplex-external-main`: uses the `staticLexFull` method with CPLEX Optimizer. This additionally use an external data file to dynamically change the weighting of the optimisation.

Right-click on any of these Run Configurations, and click on `Run this`.

Open the `Scripting log` panel at the bottom of the perspective to view the results as the optimisation is performed.