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: about 1 month ago
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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 (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-04T01:44:48.000Z (11 months ago)
- Last Synced: 2025-02-01T19:13:09.906Z (3 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
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README
# AI and Meta-Heuristics (Combinatorial Optimization) Python


> 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)