An improved multi-objective evolutionary algorithm for computation offloading in the multi-cloudlet environment

摘要

In this paper, a multi-objective optimization model for computation offloading is established to minimize the energy consumption and cost of performing tasks in the multi-cloudlet environment. And an multi-objective evolutionary algorithm MOEA/D-TLS is proposed to explore the optimal solution under time constraint. Experimental results show that the proposed algorithm achieves better performance on the total energy consumption and total price while meeting the time constraint.