Abstract: In the energy collaborative optimization of the hydrogen-bearing regional integrated energy system participating in carbon emission trading, the dynamic changes in the consistency of user-side economic and satisfaction goals have challenged the energy collaborative optimization of the regionally integrated energy system multiple decision variables. For this reason, a combined cooling, heating, and power system model, including hydrogen cascade utilization, is constructed, and a user-integrated demand response strategy based on the predicted mean vote index is proposed. Specifically, with the upper-level integrated energy service providers as the leader and the lower-level user aggregators as the follower, a master-slave bi-level game equilibrium model is constructed, and the success-history-based adaptive differential evolution (SHADE) is nested with CPLEX to solve the interaction strategy under the balance of both parties' benefits. The simulation demonstrates that the proposed strategy improves both parties' profits. In addition, compared to the differential evolution algorithm, genetic algorithm, and adaptive genetic algorithm, the SHADE algorithm significantly reduced the execution time by 15.6%, 8.6%, and 4.8%, respectively.