Genetic-Algorithms

1 Basic Algorithm implementation

Basic implementation of a genetic algorithm.

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

3 Genetic Algorithm on Neural Network Architecture and Hyperparameter Optimization