Genetic Algorithm for Job Shop Scheduling Problem with MATLAB Implementation

This documentation presents a highly practical and versatile MATLAB program implementing genetic algorithm for solving job shop scheduling problems. The program is designed with excellent usability and effectively handles various job shop scheduling scenarios, from simple to complex configurations. It provides accurate and efficient optimization solutions through its genetic algorithm implementation that includes key components such as chromosome encoding for job sequences, fitness evaluation based on makespan calculation, tournament selection, crossover operations (like PMX or OX), and mutation mechanisms. The algorithm maintains population diversity while converging toward optimal scheduling solutions. With this program, users can easily perform job scheduling optimization to enhance production efficiency, reduce operational costs, and maximize resource utilization through constraint handling and objective function minimization. The MATLAB implementation utilizes matrix operations for efficient computation and includes visualization tools for schedule analysis. If you encounter challenges in job shop scheduling, this MATLAB program offers a reliable solution that significantly improves scheduling outcomes through evolutionary optimization techniques.