Abstract: To achieve the collaborative management of regional relief materials, the collaborative location problem of sectional reserves in regional emergency supplies storage was studied. By using mixed integer non-linear programming method, a multi-objective optimization model for collaborative location problem of sectional reserves was developed to minimize the total system cost and the total transportation time. A matrix-based co-evolutionary multi-objective genetic algorithm was also proposed. The results of a numerical example showed that the model was feasible and the algorithm was efficient for solving above collaborative location problem of sectional reserves. The efficiency of regional emergency supplies storage could be improved by carrying into execution for collaborative location of sectional reserves.