Genetic-Algorithm-Python

Python implementation of a genetic algorithm for optimization problems. Includes functions for individual generation, fitness calculation, population creation, crossover, mutation, and evolution. Demonstrates solving target value and 8-Queen Problem efficiently.

Genetic Algorithm in Python 🧬🐍

This repository contains Python code implementing a genetic algorithm for solving optimization problems. The code includes functions for individual generation, fitness calculation, population creation, crossover, mutation, and evolution.

Usage 🚀

1. Installation: Clone the repository to your local machine.

2. Run the Code: Execute the GeneticAlgor.py function in the provided Python script to see the algorithm in action.

3. Customization: Modify parameters like population size, target value, and mutation rate to adapt the algorithm to your specific problem.

Examples 📚

• Solve target value problems by evolving a population of individuals.
• Solve the classic 8-Queen Problem efficiently using genetic algorithms.

Requirements 🛠️

• Python 3.X

License 📝

This project is licensed under the MIT License - see the LICENSE file for details.