Genetic Algorithm Source Code Package for MATLAB Environment

This MATLAB-compatible compressed package provides complete source code implementation for genetic algorithms. The package contains ready-to-use genetic algorithm functions that can be easily integrated into your MATLAB projects. Genetic algorithms are optimization techniques inspired by natural evolution processes, simulating genetic operations such as selection, crossover, and mutation to progressively improve solutions to complex problems. The implementation includes key components like population initialization, fitness evaluation, tournament selection, single-point crossover, and mutation operators. By utilizing this source code package, you can efficiently solve complex optimization challenges, enhance problem-solving capabilities, and achieve improved results through customizable genetic algorithm parameters. The code is structured with modular functions allowing easy modification of selection strategies, crossover methods, and mutation rates to suit specific application requirements.