https://github.com/davidasmith/shiny-ga-demo

Interactive example of a simple genetic algorithm in R shiny.
https://github.com/davidasmith/shiny-ga-demo

genetic-algorithm optimisation r-shiny rastrigin

Last synced: 7 months ago
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Interactive example of a simple genetic algorithm in R shiny.

• Host: GitHub
• URL: https://github.com/davidasmith/shiny-ga-demo
• Owner: DavidASmith
• License: mit
• Created: 2021-01-05T09:37:44.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2025-07-22T23:05:28.000Z (11 months ago)
• Last Synced: 2025-07-23T01:08:14.166Z (11 months ago)
• Topics: genetic-algorithm, optimisation, r-shiny, rastrigin
• Language: R
• Homepage:
• Size: 297 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Interactive Genetic Algorithm Example

## Overview

This is a an R Shiny application using Luca Scrucca's [GA package](https://luca-scr.github.io/GA/).

The optimisation example searches for optimum values for two dimensions

to minimise the Rastrigin function. A plot of this function is shown below:

![](www/rastrigin.png).

Note that optimum value for both dimensions is zero, and that many local

minima are present.

Users can explore the impact of different values for:

- population size

- mutation probability

- crossover probability

- elitism

- number of generations.

## Implementation

The application makes use of the [future](https://cran.r-project.org/web/packages/future/index.html) package to allow the GA to run asynchronously, and the [ipc package](https://cran.r-project.org/web/packages/ipc/index.html) for passing messages between the GA and Shiny.

## Give it a try

This application is deployed at https://shiny-ga-demo.azurewebsites.net (assuming the hosting doesn't cost me too much).