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BY571/Genetic-Algorithms-Neural-Network-Optimization: Genetic Algorithm for Neural Network Architecture and Hyperparameter Optimization and Neural Network Weight Optimization with Genetic Algorithm · GitHub

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Genetic-Algorithms

1 Basic Algorithm implementation

Basic implementation of a genetic algorithm.

Implementation

Goal: find a given string.

Execution:

python genetic_algorithm_example.py with arguments:

  • -p Population size e.g. -p 100
  • -g goal-string e.g. -g string_to_find
  • -m mutation-rate e.g. -m 0.01

Explanation:

TODO

2 Multi Neural Network Weight Optimization with Genetic Algorithm

Implementation

3 Genetic Algorithm on Neural Network Architecture and Hyperparameter Optimization

Implementation

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Genetic Algorithm for Neural Network Architecture and Hyperparameter Optimization and Neural Network Weight Optimization with Genetic Algorithm

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