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As the space environment becomes increasingly complex, the advantages of the global coverage and over-the-horizon communication of communication constellation make it extremely necessary. In order to ensure the reliability of communication tasks, the evaluation of communication constellation resilience is carried out to provide reference for building resilient communication constellation. According to the meaning and characteristics of communication constellation’s resilience, an index system for evaluating communication constellation resilience is constructed, and the weight assignment problem is analyzed to determine the mathematical model. In order to solve the problem that analytic hierarchy process (AHP) is difficult to determine eigenvalues when the consistency of the matrix is poor, a Biogeography-Based Optimization Algorithm is used to solve the weight problem. By improving the migration mechanism, the migration operator and the mutation mechanism in the BBO algorithm, the unified of weights and consistency of the judgment matrix are achieved. The improved BBO algorithm is compared with the basic BBO algorithm, GA algorithm, GA-PSO algorithm, and AHP algorithm. The results show that the improved BBO algorithm is superior in convergence speed, optimization accuracy, and local search ability. Then, using the improved BBO algorithm to weight the indicator system, the communication constellation ''s resilience assessment weight system is obtained, which can provide some help for the subsequent resilience assessment of the satellite communication system.