The paper introduces the structure and composition of zeolite molecular sieves, and it elaborates the property of zeolite molecular sieves. In this paper, the performance of the adsorption and diffusion of substances in zeolite molecular sieves is reviewed, and the paper lists the main methods of measuring the performance of molecular sieve's adsorption and diffusion coefficients. It also introduces the adsorption and diffusion of different types of molecular sieves. In the present study, each method of measuring the adsorption performance of zeolite molecular sieves has certain applicable conditions. Due to the difference of measurement mechanism, boundary conditions and assumptions, the diffusion coefficients obtained by different methods are also different. Therefore, the appropriate measurement method will be selected according to the actual experimental situation. As different molecular sieves have different substrates suitable for adsorption, it has different application values.

Considering the premature convergence problem in the conventional quantum particle swarm optimization (QPSO) algorithm, an improved method based on boundary control was proposed and was applied in finite impulse response (FIR) filter design with frequency sampling method. The specific implementation steps of the improved algorithm were presented. In contrast with look-up table method and QPSO algorithm, the simulation results of FIR low pass and band pass filter verified that the improved method could rapidly and effectively find the optimal sample value in the frequency sampling, and the pass band ripple became small and the minimum stop band attenuation became large. The efficiency of the improved QPSO algorithm was verified.