# neuro-evolution

**Repository Path**: Felix660/neuro-evolution

## Basic Information

- **Project Name**: neuro-evolution
- **Description**: A project on improving Neural Networks performance by using Genetic Algorithms.
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-04
- **Last Updated**: 2021-06-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Multi-Objective Neuro Evolution

<a href="#"><img src="https://raw.githubusercontent.com/dwyl/repo-badges/master/highresPNGs/build-passing.png" height="25"></a> <a href="https://trello.com/neurov"><img src="https://d2k1ftgv7pobq7.cloudfront.net/meta/u/res/images/brand-assets/Logos/0099ec3754bf473d2bbf317204ab6fea/trello-logo-blue.png" height="25"></a>

## Abstract

In this project we implement a **memetic algorithm**, in that, we are training neural networks using **evolutionary algorithms** and occasionally apply **back-propagation** on cluster-heads we recieved after applying clustering.
We used **NEAT** techniques to realise Neural Network and combined it with **NSGA-II** to implement Genetic algorithm.
We have also done experiments on Transfer learning using this model. See branch 'dataset3_tl' for that.
## Contributors

1. Swapnil Sharma
2. Aditya Pimparkar
3. Atul Kumar Sinha
4. Kunal Gupta
5. Raghav Khandelwal