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: 4 days ago
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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 (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-02-14T08:28:47.000Z (almost 4 years ago)
• Last Synced: 2024-11-19T05:03:48.543Z (2 months 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

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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

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