A cloud computing task scheduling algorithm based on improved differential evolution algorithm（ LADE） is proposed

aiming at the shortcomings of low resource utilization of traditional resource scheduling strategies. Firstly

the mathematical model for cloud computing task scheduling problem is established

then the objective function is solved by differential evolution algorithm

and the adaptive scaling factor and crossover operator are introduced to improve the algorithm

which makes the algorithm accords with the solving rule of the optimal solution

effectively avoid falling into local optimal solutions and " premature" defects. The simulation results show that LADE algorithm has stronger global search ability

which not only solves the shortcomings of the traditional resource scheduling algorithm

but also greatly reduces completion time and execution energy consumption of cloud computing tasks.