Optimization of the Intelligent Workshop Control Based on the Improved Group Leadership Optimization Algorithm

This paper takes the existing optimized single product production scheduling scheme as the cloud service resource, and the production planning scheme for the product to be processed as the request task, and then subjects the two to semantic search and matching to generate a set of optimal production planning schemes. Then this paper innovatively takes the minimum production and processing cost, processing time, equipment state and minimum transport distance in product processing as the objective functions, and uses the penalty function to establish the fitness function to constrain the group leader optimization algorithm. After that, the proposed improved group leader optimization algorithm (GLOA) is used to screen the generated scheme set, and finally the optimal intelligent workshop control and scheduling scheme is obtained. The simulation results show that the proposed GLOA algorithm achieves a good convergence and is well adaptable. The research conclusions can provide theoretical reference for the intelligent workshop control and scheduling in single product manufacturing.