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Classical genetic algorithm with binary representation of floating point numbers

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Genetic Algorithm

Version: 1.0

Classic genetic algorithm with binary representation of floating point numbers and work visualisation; prepared for function of one or two variables with the possibility of maximizing and minimizing.

Methods

Selection

  • Roulette
  • Tournament

Crossing

  • Single Point
  • Double Point

Mutation

  • Bit String
  • Flip Bit

Author

Tomek Woźniak

License

This project is licensed under the MIT License - see the LICENSE.md file for details

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Classical genetic algorithm with binary representation of floating point numbers

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