Nov 6, 2023 · Instead of using deep learning to directly schedule the multi-AGV system, we use it to predict future tasks, and then under certain ...
In this paper, we propose an approach to improve the efficiency of traditional deadlock-free scheduling algorithms. Typically, AGVs have to travel to designated ...
In this paper, we propose an approach to improve the efficiency of traditional deadlock-free scheduling algorithms. Typically, AGVs have to travel to designated ...
Nov 6, 2023 · In this paper, we propose an approach to improve the efficiency of traditional deadlock-free scheduling algorithms. Typically, AGVs have to ...
Volume 27, Issue 3 | Journal of Scheduling - SpringerLink
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Dynamic scheduling problems in theory and practice. Stanisław Gawiejnowicz ... Improving scheduling in multi-AGV systems by task prediction. Hongkai Fan ...
Dynamic scheduling problems in theory and practice · Improving scheduling in multi-AGV systems by task prediction · Single-machine primary–secondary scheduling ...
In this paper, we study scheduling with step-learning, i.e., a setting where the processing times of the jobs started after their job-dependent ...
Download scientific diagram | The structure of the neural network from publication: Improving scheduling in multi-AGV systems by task prediction | Automated ...
A novel multi-tasks chain scheduling algorithm based on capacity prediction to solve AGV dispatching problem in an intelligent manufacturing system. Author ...
Abstract. In this paper, we study scheduling with step-learning, i.e., a setting where the processing times of the jobs started after their job-dependent ...