关键词:

遗传算法, 模拟退火算法, 进化算法, 反应动力学, 甲基叔戊基醚

Abstract: Hybrid evolutionary algorithms were developed. In this new method, the traditional genetic algorithm was modified by using adaptive multi-annealing crossover and mutation strategies instead of simple strategy. The multi-evolutionary mode was also adapted to improve search efficiency. The modified genetic algorithm avoided the problem of local optimum and showed the higher estimating precision and better convergence than the traditional genetic algorithm and Runge-Kutta method. This new hybrid evolutionary algorithm was successfully used to estimate the kinetics parameters for the synthesis of methyl tert-amyl ether from methanol and tert-amyl alcohol on strong acid cation exchange resin A-15. The calculated results using these parameters from the modified genetic algorithm agreed well with experimental data.

Key words:

遗传算法, 模拟退火算法, 进化算法, 反应动力学, 甲基叔戊基醚