| 论文标题 |
Kinetics research for the synthesis of branch ether using genetic-simulated annealing algorithm with multi-pattern evolution |
| 作者 |
Yao RQ, Yang BL, Cheng GX, Tao XH, Meng FX |
| 发表/完成日期 |
2003-08-01 |
| 期刊名称 |
CHEMICAL ENGINEERING JOURNAL |
| 期卷 |
94 (2) |
| 相关文章 |
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| 论文简介 |
Abstract: To obtain the kinetics parameters for the complex reaction system, a more intellectualized hybrid evolutionary algorithm was developed. In this new method, the normal genetic algorithm (GA) was modified with adaptive multi-annealing crossover and mutation strategies instead of simple strategy. The multi-pattern evolution was also adapted to improve the search efficiency. This hybrid algorithm not only avoids the problem of local optimum, but shows a higher estimating precision and a better convergence than that the normal GA. By using this algorithm, the kinetics parameters for the synthesis of ethyl tert-amyl ether from ethanol and tert-amyl alcohol over strongly acidic cation exchange resin (Ambelyst 15 (A-15)) as catalyst were successfully estimated. The calculated results using the parameters obtained from the hybrid evolutionary algorithm agree well with the experimental data. (C) 2003 Elsevier Science B.V. All rights reserved.
IDS Number: 700KX |
(创新港)
