Optimization of Cu-Zn-Al oxide catalyst for methanol synthesis using genetic algorithm

摘要

Genetic algorithm was applied to optimize the Cu/Zn/Alratio of mixed oxide catalyst for methanol synthesis from syngas.The catalyst was encoded to 21 bits of binary code.Each7 bits corresponded to the element content of the catalysts:Cu,Zn,and Al.The simulated activity (STY) was used to evaluate the "fitness" of the catalyst code.The developed program succeeded in identifying the maximum activity with/without singularpoint in the simulated STY.The combination of catayst design by genetic algorithm and the activity test by HTS is expected to be promising for highly efficient catalsyt screening.