Flow Shop Production Scheduling with MATLAB: Genetic Algorithm Implementation for Assembly Line Job Scheduling Problems

In this article, we discuss MATLAB source code for flow shop production scheduling. We introduce how to use genetic algorithms to solve assembly line job scheduling problems and provide corresponding MATLAB source code. The code implementation includes key components such as chromosome representation using permutation encoding, fitness calculation based on makespan minimization, and genetic operators including tournament selection, ordered crossover, and swap mutation. These source codes will help you better understand and implement production scheduling algorithms. By utilizing this code, you can optimize workshop job scheduling, improve production efficiency, and minimize resource waste. The implementation is developed using MATLAB programming language, allowing convenient execution within the MATLAB environment. Please note that this code is intended for learning and research purposes only. If you plan to use it in actual production environments, ensure appropriate modifications and optimizations according to your specific requirements, particularly regarding constraint handling and algorithm parameter tuning.