Abstract: In order to solve the problems of process parameter sensitive domain drift，concentrate re⁃ covery rate decrease and cost increase caused by the nonlinear dynamic characteristics of multiphase fluid�solid coupling in the beneficiation of elutriation machine，an optimization method of beneficiation process of elutriation machine based on immune genetic algorithm is proposed.The key parameters such as the opening of the electric valve，the water flow rate and the quality of the mixed ore powder are analyzed by the factor analysis method，and the synergistic model is constructed to quantify the dynamic weight of the parameters and realize the model-driven optimization.Then，based on the immune genetic algorithm，the optimization model is constructed，and the optimal combination is selected by calculating the affinity value of characteris⁃ tic parameters，so as to improve the concentrate grade. Finally，the fuzzy logic is introduced to correct the optimization error，so as to realize the optimization of the ore dressing process of the elutriation machine.The test results show that the concentrate recovery rate after optimization by this method exceeds 99.50%，the annual cost is saved by 0.750 5～1.296 8 million yuan，and the beneficiation stability is higher than 98.50%，which significantly improves the concentrate grade and process stability，and provides new ideas and methods for the sustainable development of the beneficiation industry.

Key words: immune genetic algorithm, fuzzy logic technology, elutriation machine, beneficiation pro? cess optimization, beneficiation grade