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《中国化学工程学报(英文版)》 2008-02
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An Improved Differential Evolution for Optimization of Chemical Process

WU Yanling 1,2 ,LU Jiangang 1, and SUN Youxian 1 1State Key Laboratory of Industrial Control Technology,Zhejiang University,Hangzhou 310027,China 2Department of Automation,Anhui University,Hefei 230039,China  
Differential evolution(DE)is an evolutionary optimization method,which has been successfully used in many practical cases.However,DE involves large computation time,especially,when used to optimize the compu- tationally expensive objective function.To overcome this difficulty,the concept of immunity based on vaccination is used to help proliferate excellent schemata and to restrain the degenerate phenomenon.To improve the effective- ness of vaccines,a new vaccine autonomous obtaining method,and a method of deciding the probability of vacci- nation are proposed.In addition,a method for modifying the search space dynamically is proposed to enhance the possibility of converging to the true global optimum.Experiments showed that the improved DE performs better than the classical DE significantly.
【Fund】: the National Natural Science Foundation of China(60736021);; the National High Technology Research andDevelopment Program of China(2006AA04Z184 2007AA041406);; the Key Technologies R&D Program of ZhejiangProvince(2006C11066 2006C31051)
【CateGory Index】: TQ021.8
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