Genetic Algorithm Optimization for Convolutional Neural Networks

🆕 Updates

• 6/12/23: fixing code

Methodology:

• ✅ Literature Review
• ✅ Data Acquisition and Preprocessing
• ✅ Build Model
• ✅ Genetic Algorithm implementation
• ⬜️ Optimization Genetic Algorithm

ℹ️ Description

This project focuses on creating a Convolutional Neural Network (CNN) for classification using genetic algorithms. We implement strategies such as tournament selection, elitism, two-point crossover, and swap mutation. In a second phase, we are concentrating on optimizing the genetic algorithm by exploring a parameter vector space to further enhance the model's performance

Team Members:

• Alexander Leonardo Lique Lamas, Github: alexliqu09 Email: [email protected]

• Diego Vázques Levano Github: Diego-Vasquez, Email: [email protected]