In view of the problem of low energy utilization and unbalanced task taken by multiMCs in wireless rechargeable sensor network(WRSN), this paper jointly considers maximizing the energy utilization and balancing the tasks of multiMCs for the first time, and builds the multiMCs charging planning problem into multiobjective optimization problem, a multiobjective fireworks algorithm based on decomposition (MOFWA/D) is proposed to solve the problem. The experimental results show that the ratio of charging energy to the total energy consumption of the multiMCs based on the MOFWA/D algorithm is up to 3349%, which is better than MOFWA, MOEA/D and Schedule algorithm, and the balance index of the multiMCs obtained by the proposed algorithm is lower than 1139% of MOFWA algorithm, 4367% of MOEA/D algorithm and 7929% of schedule algorithm.