Chemical Engineering Journal, Vol.94, No.2, 113-119, 2003
Kinetics research for the synthesis of branch ether using genetic-simulated annealing algorithm with multi-pattern evolution
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.
Keywords:complex reaction;kinetics;ethyl tert-amyl ether;genetic algorithm;simulated annealing;evolutionary algorithm;optimization