| 基于免疫系统的自适应差分进化算法及在水银氧化动力学参数估计中的应用 |
| |
| 引用本文： | 胡春平,颜学峰.基于免疫系统的自适应差分进化算法及在水银氧化动力学参数估计中的应用[J].中国化学工程学报,2009,17(2):232-240. |
| |
| 作者姓名： | 胡春平 颜学峰 |
| |
| 作者单位： | Automation Institute, East China University of Science and Technology, Shanghai 200237, China |
| |
| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划) |
| |
| 摘 要： | 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. The experiments conducted show that the ISDE clearly outperforms the other DE algorithms in all benchmark functions. Furthermore, ISDE is applied to develop the kinetic model for homogeneous mercury (Hg) oxidation in flue gas, and satisfactory results are obtained.
|
| 关 键 词： | differential evolution immune system evolutionary computation parameter estimation |
| 收稿时间： | 2008-7-28 |
| 修稿时间： | 2008-7-28
|
An immune self-adaptive differential evolution algorithm with application to estimate kinetic parameters for homogeneous mercury oxidation |
| |
| HU Chunping,YAN Xuefeng.An immune self-adaptive differential evolution algorithm with application to estimate kinetic parameters for homogeneous mercury oxidation[J].Chinese Journal of Chemical Engineering,2009,17(2):232-240. |
| |
| Authors: | HU Chunping YAN Xuefeng |
| |
| Affiliation: | Automation Institute, East China University of Science and Technology, Shanghai 200237, China |
| |
| Abstract: | A new version of differential evolution(DE)algorithm,in which immurle concepts and methods are applied to determine the parameter setting.named immune self-adaptive difierential 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 bv 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.The experiments conducted show that the ISDE clearly outperforms the othcr DE algorithms in all benchmark functions.Furthermore.ISDE iS applied to develop the kinetic model for homogeneous mercury (Hg) oxidation in tlue gas,and satistactory results are obtained. |
| |
| Keywords: | differential evolution immune system evolutionary computation parameter estimation |
| 本文献已被 万方数据 ScienceDirect 等数据库收录！ |
| 点击此处可从《中国化学工程学报》浏览原始摘要信息 |
|
点击此处可从《中国化学工程学报》下载全文 |
