Genetic Algorithm MATLAB Source Code

This repository contains high-quality MATLAB source code for genetic algorithm implementations. The resource provides numerous practical examples and well-documented code snippets that demonstrate key genetic algorithm components including population initialization, fitness evaluation, selection operators, crossover operations, and mutation techniques. The codebase is particularly valuable for studying evolutionary computation methods and their MATLAB implementation, featuring clear variable naming and modular structure. Each example includes implementation details for common GA operations such as tournament selection, single-point crossover, and adaptive mutation rates. Researchers and students interested in computational intelligence and optimization algorithms will find this resource extremely beneficial for both learning fundamental concepts and developing advanced applications. The code is structured to allow easy modification and extension for specific optimization problems.