会议专题

Research on RGV Optimal Dynamic Scheduling Scheme Based on Heuristic Algorith

  With the development of industrial production,the work efficiency of improving the operation process has beco-me the focus of peoples 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

Zhang Xin Zhang Jinsong Wang Junlin Liu Yuqiang Zhang Guolei Liu Jiayu

College of Information Science and Technology,Dalian Maritime University,Liaoning 116026,China College of Science,Dalian Maritime University,Liaoning 116026,China School of Information Engineering,Northwest A&F University,Shanxi 712100,China School of Physical Science and Technology,Nanjing Normal University,Jiangsu 210023,China

国际会议

2019 2nd International Conference on Mechanical, Electronic and Engineering Technology (MEET 2019) 2019年第二届机电与工程技术国际会议

西安

英文

419-426

2019-01-19(万方平台首次上网日期,不代表论文的发表时间)