Research on RGV Optimal Dynamic Scheduling Scheme Based on Heuristic Algorith
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Zhang Xin, Zhang Jinsong, Wang Junlin, Liu Yuqiang, Zhang Guolei, Liu Jiayu
With the development of industrial production, the work efficiency of improving the operation process has beco-me the focus of people's attention. In terms of the current probl-em, this paper focuses on the optimal dynamic scheduling scheme of RGV (Rail-Guided Vehicle) to achieve maximize production b-enefits and save hum-an resources. In this paper, the number of processes is classified and discussed. In one process, the ant colo-ny algorithm is used to find the optimal path for each step, and t-he material situation of CNC machined by RGV is simulated. T-he relation-ship between RGV processing and optimal scheduling of loading and unloading was studied. In the two processes, this paper uses the heuristic algorithm-genetic algorithm in biogene-tics to construct a new model, and then combines the roulette al-gorithm to select different allocation strategies to get the best sc-heduling scheme. Finally, we use eM-Plant 13.0 software to carry out simulation test to verify the practicability and effectiveness of the model, and to determine the optimal dynamic scheduling pro-blem of RGV to improve the production efficiency of the factory.
Local Optimality To Achieve Global Optimal, Roulette Algorithm, Heuristic Algorithm, Genetic Algorithm