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ngaged in the fudan gene database design. my duty was to pick up the useful information among different kinds of gene matching format. through the parison and analysis for many heuristic algorithms i introduced an improved evolutionary algorithm multipopulation genetic algorithm. by spaniding a wholepopulation into several subpopulations 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 workshopscheduling research in shanghai heavy duty tyre plant. the scheduling was designed for the rubbermaking 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 posite predict of the electrical power system assisted with the technology of data mining for bao steel. i try to bine the decision tree with receding optimization to provide a new solution for the posite predictive problem. this project is now under construction.besides in july 20xx i got the opportunity to give a lecture in english in asia control conference (ascc) which is one of the toplevel conferences among the world in the area of control and automation. in my senior year i met prof. xiaosong lin a visiting professor of mathematics from university of californiariverside i learned graph theory from him for my network research. these experiences all rapidly expanded my knowledge of english and the understanding of western culture.i hope to study in depthin retrospect i find myself standing on a solid basis in both theory and experience which has prepared me for the . program. my future research interests include: network scheduling problem heuristic algorithm research (especially in ga and neural network) supply chain network research hybrid system performance analysis with petri nets and data mining.