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.