Based on the characteristics of multi-fault occurrences in distribution networks， a multi-objective optimization model is developed. This model combines rush repair and service restoration. A multi-team cooperative repair strategy is proposed for this model. The switch control variables are taken as virtual fault location， and combined with the rush repair control variables for this strategy. Interval homing scheme is introduced in the multi-objective bacterial colony chemotaxis（BCC） algorithm to improve its discrete domain problem solving capability; at the same time， a partial update mechanism is introduced to speed up its convergence. The information of the load nodes is judged by network topology search and then the fitness value can be calculated. The test results show that the improved method can significantly improve the performance of the multi-objective BCC algorithm， and the solution set of optimum repair and service restoration can be obtained effectively.