Abstract:When the service capacity of a terminal is limited, how to aggregate heterogeneous terminals according to their capacity to support service application is a challenge. This paper proposes a terminal aggregative selection algorithm based on Multi-Objective Evolutionary (MOE), describes the framework of terminal aggregation and designs 0-1 programming model. The proposed algorithm determines automatically the weights of multi-index, avoiding the difficulty to specify the weights manually. Simulation results show that the proposed algorithm can produce a set of optimal Pareto solutions and the most approving solution is selected as the final decision according to preference and application requirements. Also the proposed algorithm provides an improvement to the feasibility and efficiency.