Quantum Genetic Algorithm MATLAB Source Code with Complete Implementation

This repository provides MATLAB source code implementation for Quantum Genetic Algorithm (QGA), consisting of multiple modular files organized for clear functionality separation. To test the algorithm, simply execute the main.m file which orchestrates the complete optimization workflow. The QGA combines advantages from quantum computing and genetic algorithms, making it suitable for solving various optimization problems by efficiently exploring complex solution spaces. Key implementation features include quantum rotation gate operations for population evolution and genetic operators (selection, crossover, mutation) enhanced with quantum principles. The code contains comprehensive inline comments explaining each file's purpose and usage, along with algorithmic details about quantum-bit representation and measurement processes. Users can easily understand, modify, and extend the code for specific applications. Welcome to download and utilize this resource - we hope it provides valuable support for your research and engineering projects!