The computation offloading technology based on mobile edge computing（ MEC） alleviates the processing pressure of the traditional wireless network data center and improves the system service quality effectively. Aiming at the problem that computationally intensive task offloading makes the energy consumption of mobile terminal devices become higher

a computing offloading strategy based on population diversity-binary particle swarm optimization（ PD-BPSO） is proposed. Firstly

the energy consumption model for the terminal devices under the constraint of multi-object is established. Secondly

the particle swarm optimization（ PSO） algorithm is used to convert the offloading of task into the particle optimization process

and obtain the optimal offloading strategy with satisfying the energy consumption minimization. Simulation results show that the proposed offloading strategy can effectively reduce the energy consumption of terminal devices while guarantee the service quality of users.