https://github.com/giovananog/meta-heuristics-ai

Graph Algorithms, Genetic Algorithms, Simulated Annealing, Swarm Intelligence, Heuristics, Minimax and Meta-Heuristics
https://github.com/giovananog/meta-heuristics-ai

ai meta-heuristics python

Last synced: 16 days ago
JSON representation

Graph Algorithms, Genetic Algorithms, Simulated Annealing, Swarm Intelligence, Heuristics, Minimax and Meta-Heuristics

• Host: GitHub
• URL: https://github.com/giovananog/meta-heuristics-ai
• Owner: giovananog
• Created: 2024-02-20T14:14:44.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-03-20T23:55:33.000Z (9 months ago)
• Last Synced: 2024-03-21T03:24:16.437Z (9 months ago)
• Topics: ai, meta-heuristics, python
• Language: Python
• Homepage:
• Size: 1.71 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# AI and Meta-Heuristics (Combinatorial Optimization) Python

![GitHub repo size](https://img.shields.io/github/repo-size/giovananog/meta-heuristics-ai?style=for-the-badge)

![GitHub last commit](https://img.shields.io/github/last-commit/giovananog/meta-heuristics-ai?style=for-the-badge)







> This repository contains the projects and materials developed during the "AI and Meta-Heuristics (Combinatorial Optimization) Python" course from Udemy.





## 🖥️ Course Content

Graph Algorithms, Genetic Algorithms, Simulated Annealing, Swarm Intelligence, Heuristics, Minimax, and Meta-Heuristics. The course covers:

1. **Understanding Artificial Intelligence**

   - Learn why artificial intelligence is important.

2. **Pathfinding Algorithms**

   - Understand BFS, DFS, and A* search algorithms for pathfinding.

3. **Heuristics and Meta-Heuristics**

   - Learn about heuristics and meta-heuristics.

4. **Genetic Algorithms**

   - Understand genetic algorithms for optimization.

5. **Particle Swarm Optimization**

   - Learn particle swarm optimization techniques.

6. **Simulated Annealing**

   - Understand the simulated annealing algorithm for optimization.

## 📁 Repository Structure

The repository is organized into sections, each reflecting different topics and projects from the course.

## 🛠️ Technologies Used

- Python

## 🌐 Course URL

[Udemy Course: AI and Meta-Heuristics (Combinatorial Optimization) Python](https://www.udemy.com/course/ai-and-combinatorial-optimization-with-meta-heuristics)