Static only as good as the last time the scheduling program was run, not dynamic Prioritization method doesn't make sense for Hi-Mix, Customer manufacturing environments Based on a capacity-loading ...

This paper takes a typical genetic programming method and a typical reinforcement learning method in dynamic flexible job shop scheduling for investigation. The results show that the investigated ...

Abstract For the linear least squares problem with coefficient matrix columns being highly correlated, we develop a greedy randomized Gauss-Seidel method with oblique direction. Then the corresponding ...

An approximate dynamic programming method for unit-based small hydropower scheduling Yueyang Ji Hua Wei* School of Electrical Engineering, Guangxi University, Nanning, China Hydropower will become an ...

AGC dynamic optimization is a sequential decision problem that can be formulated as a discrete-time Markov decision process. Therefore, this article proposes a novel framework based on proximal policy ...