https://github.com/ethanmclark1/geat

Genetic and evolutionary algorithm implementations in Python
https://github.com/ethanmclark1/geat

evolutionary-algorithms ga genetic-algorithm moga multi-objective particle-swarm-optimization

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Genetic and evolutionary algorithm implementations in Python

• Host: GitHub
• URL: https://github.com/ethanmclark1/geat
• Owner: ethanmclark1
• License: apache-2.0
• Created: 2022-04-25T19:31:42.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2023-08-25T20:19:53.000Z (almost 3 years ago)
• Last Synced: 2025-10-25T03:34:43.855Z (9 months ago)
• Topics: evolutionary-algorithms, ga, genetic-algorithm, moga, multi-objective, particle-swarm-optimization
• Language: Python
• Homepage:
• Size: 22.5 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Genetic and Evolutionary Algorithm Toolkit for Python

GEAT is a collection of evolutionary algorithms written in Python.

## Setup Environment

`conda create --name  --file requirements.txt`

## Algorithms

* Genetic Algorithm

* Multi-Objective Genetic Algorithm with Pareto Ranking

* Particle Swarm Optimization

## References 

- [Clerc, M. (2012). "Standard Particle Swarm Optimisation" (PDF). HAL Open Access Archive](https://hal.archives-ouvertes.fr/file/index/docid/764996/filename/SPSO_descriptions.pdf)

- [Obayashi, S., Takahashi, S., & Takeguchi, Y. (1998, September). Niching and elitist models for mogas. In

International Conference on Parallel Problem Solving from Nature (pp. 260-269). Springer, Berlin,

Heidelberg.](https://www.ifs.tohoku.ac.jp/edge/publications/ppsnv.pdf)