https://github.com/banyc/geneticalgorithm

OOP, Human-friendly Genetic Algorithm. Customizable fitness evaluation logic.
https://github.com/banyc/geneticalgorithm

cross-platform educational genetic-algorithm oop

Last synced: about 1 year ago
JSON representation

OOP, Human-friendly Genetic Algorithm. Customizable fitness evaluation logic.

• Host: GitHub
• URL: https://github.com/banyc/geneticalgorithm
• Owner: Banyc
• Created: 2021-01-24T14:05:19.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-02-14T08:28:47.000Z (about 5 years ago)
• Last Synced: 2025-01-20T05:49:14.656Z (over 1 year ago)
• Topics: cross-platform, educational, genetic-algorithm, oop
• Language: C#
• Homepage:
• Size: 5.86 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Genetic Algorithm

OOP, human-friendly Genetic Algorithm.

## How to use

1.  Define your custom fitness evaluation.

1.  Instantiate class `Population`.

1.  Call `Population.NextGeneration()` several times.

1.  Get the top individuals from the list `Population.Individuals`.

## References

-