关键词: 云制造, 虚拟资源, 调度, 粒子群算法

Abstract: In the cloud manufacturing environment,virtual manufacturing resources were diverse and heterogeneous,and user's needs were changing in real time.However,the response speed of cloud manufacturing resources allocation process was slow and the distribution was unbalance with traditional resource scheduling methods.To improve the manufacturing efficiency and maintain the load balance,a multi-objective optimization model was proposed.An improved Particle Swarm Optimization (PSO) algorithm was devised to avoid falling into local optimum,so that the rational allocation of complex manufacturing resources could be completed.By taking cloud manufacturing simulation of steel sintered as an example,the effectiveness of proposed model and algorithm were verified by simulation.

Key words: cloud manufacturing, virtual resource, scheduling, particle swarm optimization