algorithms, I introduced an improved evolutionary algorithm -- Multi-population Genetic Algorithm. By spaniding a whole population into several sub-populations, this improved algorithm can effectively prevent GA from local convergence and promote various evolutionary orientations. It proved more efficiently than SGA in experiments, too. In the second semester, I joined the workshop-scheduling research in Shanghai Heavy Duty Tyre plant. The scheduling was designed for the rubber-making process that covered not only discrete but also continuous circumstances. To make a balance point between optimization quality and time cost, I proposed a Dynamic Layered Scheduling method based on hybrid Petri Nets. The practical application showed that the average makespan was shortened by a large scale. I also publicized two papers in core journals with this idea. Recently, I am doing research in the Composite Predict of the Electrical Power system assisted with the technology of Data Mining for Bao S