The job scheduling problem in the steelmaking-continuous casting process is studied by using the simulation
based optimization in order to improve the practicality of schedules. The problem is mathematically modeled. Then, a
simulation based genetic algorithm is developed to solve the problem, which simulates not only the physical system but
also the activities of operators, and is compact and runs relatively fast. Finally, the experiments and analysis show that the
developed algorithm can conveniently formulate and the obtained schedules are much practicable.