GitHub - matteobjornsson/population-based-ml-algorithms: Machine Learning project. Experiment comparing effectiveness of different population based machine learning methods: Particle Swarm Optimization, Genetic Algorithm, and Differential Evolution.

Video

A simple walkthrough of the experimental calculations can be found here:

Name		Name	Last commit message	Last commit date
Latest commit History 194 Commits
.vscode		.vscode
NormalizedData		NormalizedData
experimental_results		experimental_results
finalTuningResults		finalTuningResults
img		img
.gitignore		.gitignore
DE.py		DE.py
DEParallel.py		DEParallel.py
DataProcessor.py		DataProcessor.py
DataUtility.py		DataUtility.py
GA.py		GA.py
GAParallel.py		GAParallel.py
NeuralNetwork.py		NeuralNetwork.py
PSO.py		PSO.py
PSOParallel.py		PSOParallel.py
Performance.py		Performance.py
Project-4_Bjornsson-Stone_CSCI447.pdf		Project-4_Bjornsson-Stone_CSCI447.pdf
README.md		README.md
Video.py		Video.py
VideoNN.py		VideoNN.py
Videop2.py		Videop2.py
csv_averaging.py		csv_averaging.py
plot_tuning.py		plot_tuning.py
project4_assignment.pdf		project4_assignment.pdf
pseudocode.txt		pseudocode.txt
videoURL.txt		videoURL.txt