考研面試自我介紹及擴展資料-閱讀頁
2024-10-17 19:11本頁面
【正文】 ch group aiming at Network flow problem solving and Heuristic algorithm I was engaged in the FuDan Gene Database duty was to pick up the useful information among different kinds of gene matching the parison and analysis for many heuristic algorithms, I introduced an improved evolutionary algorithmMultipopulation Genetic dividing a whole population into several subpopulations, this improved algorithm can effectively prevent GA from local convergence and promote various evolutionary proved more efficiently than SGA in experiments, the second semester, I joined the workshopscheduling research in Shanghai Heavy Duty Tyre scheduling was designed for the rubbermaking process that covered not only discrete but also continuous make a balance point between optimization quality and time cost, I proposed a Dynamic Layered Scheduling method based on hybrid Petri practical application showed that the average makespan was shortened by a large also publicized two papers in core journals with this , I am doing research in the Composite Predict of the Electrical Power system assisted with the technology of Data Mining for Bao try to bine the Decision Tree with Receding Optimization to provide a new solution for the Composite Predictive project is now under , In July 2000, 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 my senior year, I met Lin, a visiting professor of mathematics from University of CaliforniaRiverside, I learned graph theory from him for my network experiences all rapidly expanded my knowledge of English and the understanding of western hope to study in depth In retrospect, I find myself standing on a solid basis in both theory and experience, which has prepared me for the 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 give my application materials a serious you very much.
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