Rolling schedule is the core contents of rolling process. A reasonable rolling schedule can make rolling process to obtain optimum state. There are more mathematic models and the constraint conditions to be considered in the rolling schedule, therefore, the optimization becomes a complex problem. In this paper, genetic algorithms based on real number encoding are used to optimize rolling schedule aiming at equating the relative load and optimum plate shape though instance. The optimum result shows that the method is satisfactory and promising.