The integrated energy system contains a variety of distributed energy sources,each of which complement seach other,effectively improves energy utilization, and has significant advantages in terms of economy and environmental protection. As an important supplement to the integrated energy system, the combined cooling,heating and power system has the advantages of flexibility, reliability and high efficiency,and is now widely developed and valued.Considering the power generation characteristics of each micro-source and the demand of cold and heat load, a multi-objective cogeneration system model including fuel cell, micro-combustion engine, waste heat boiler, absorption chiller and energy storage device is established.The model considers the impact of time-of-use electricity price on micro-grid system. Taking economic cost and environmental cost as the objective function,a multi-target bee colony algorithm based on Pare-to theory is proposed as the model solving algorithm. The actual cooling and power supply system is used as an example to verify the effectiveness of the proposed model, and compared with the multi?objective particle swarm optimization algorithm. The results show that the multi?target bee colony algorithm based on Pareto theory can be more effective,and reduce economic and environmental costs.