Optimal Allocation of Distributed Manufacturing Resources in Cloud Manufacturing Environment
Aiming at the optimal configuration of distributed manufacturing resources in the cloud manufacturing environment,this paper formally describes the tasks submitted by the demand side of manufacturing resources and subdivides the complex tasks.The traditional multi-objective particle swarm optimization algorithm is improved,and a multi-objective optimization algorithm integrating multiple strategies is proposed to solve the multi-objective optimal configuration of manufacturing resources in the cloud manufacturing environment.Based on the comprehensive evaluation strategy,the configuration scheme is further optimized.The simulation experiment of distributed manufacturing plants is conducted to verify the rationality and superiority of the multi strategy and multi-objective optimization algorithm.
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