Application of Particle Swarm Optimization with Stochastic Inertia Weight Strategy to Resources Scheduling and Assignment Problem in Cloud Manufacturing Environment
In this paper a combined approach is presented known as SIWPSO; the main idea of this approach is to get the optimal allocation of cloud service resources to improve the overall outcome of cloud manufacturing.Based on the characteristics of manufacturing enterprises in cloud manufacturing environment,the mathematic model was formulated for resources scheduling and assignment problem in cloud manufacturing.The particle swarm optimization with stochastic inertia weight strategy(SIWPSO)was adopted for the proposed model.Its efficiency is compared with other three particle swarm optimization algorithms.Simulation results show its effectiveness and superiority to solve cloud service resources scheduling and assignment problem.
Particle Swarm Optimization Resources Scheduling Cloud Manufacturing Stochastic Inertia Weight
WANG Zhen ZHANG Jihui SI Jianfei
College of Automation Engineering,Qingdao University,Qingdao 266071 Naval Aeronautical Engineering Institute Qingdao Branch,Qingdao 266041
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
7567-7572
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）