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An Immune Self-Adaptive Differential Evolution Algorithm With Application To Estimate Kinetic Parameters For Homogeneous Mercury Oxidation, Chunping Hu, Xuefeng Yan
An Immune Self-Adaptive Differential Evolution Algorithm With Application To Estimate Kinetic Parameters For Homogeneous Mercury Oxidation, Chunping Hu, Xuefeng Yan
Chunping Hu
A new version of differential evolution (DE) algorithm, in which immune concepts and methods are applied to determine the parameter setting, named immune self-adaptive differential evolution (ISDE), is proposed to improve the performance of the DE algorithm. During the actual operation, ISDE seeks the optimal parameters arising from the evolutionary process, which enable ISDE to alter the algorithm for different optimization problems and improve the performance of ISDE by the control parameters’ self-adaptation. The performance of the proposed method is studied with the use of nine benchmark problems and compared with original DE algorithm and other well-known self-adaptive DE algorithms. …
Kpca-Rvm Modeling Method And Its Application For Soft Sensor, Xuefeng Yan, Jia Chen, Chunping Hu, Feng Qian
Kpca-Rvm Modeling Method And Its Application For Soft Sensor, Xuefeng Yan, Jia Chen, Chunping Hu, Feng Qian
Chunping Hu
A novel modeling method integrated KPCA with RVM is proposed. Firstly, kernel primary component analysis (KPCA) is employed to identify the principal components from the nonlinear transform data of independent variables, which are regarded as character variables. Then, regression between character variables and dependent variables is done based on RVM, and the optimal number of the character variables is adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM method can eliminate the disturbance of redundant information and achieve the best nonlinear model with good generalization performance. Finally, the method of KPCA-RVM is demonstrated by a 4-CBA's …