To meet the requirements of high transmission capacity,high rate,and low transmission delay proposed by next-generation 6G networks for optical communication networks,this study employs tellurite fiber as the fiber gain medium and optimizes the pumping parameters of the Raman fiber amplifier (RFA) using adaptive differential evolution (ADE) algorithm.By introducing an adaptive operator,the algorithm controls the mutation rates to maintain individual diversity and enhance the ability to search for the optimal solution globally.Finally,a multi-pump RFA is designed,which has bandwidth range of 100 nm,an average gain of 28.27 dB,and a gain flatness of 0.65 dB.Furthermore,the effects of pump power and fiber length on the gain and gain flatness of the Raman amplifier are studied on the basis of this model,which provides a reference for designing and optimizing the multi-pump Raman amplifier model.