Reinforcement learning (RL) is one of the most remarkable branches of machine learning
and attracts the attention of researchers from numerous fields. Especially in recent years, the …

Hybrid flow shop scheduling problems (HFSP), one of popular research topics in the field of
shop scheduling, several alternative parallel machines in all or part of stages of the flow …

混合流水车间在流水车间的基础上, 在所有或部分阶段引入多台可选择的并行机器,
提高了车间的生产能力和柔性, 是车间调度领域的研究热点之一. 按阶段数和机器特征对混合 …

In this paper, we deal with a problem that arises from the oil industry with the need to
schedule a pipe laying support vessel fleet responsible for connecting oil wells to production …

Abstract Machine learning encompasses several approaches, including reinforcement and
deep learning. The main objective of RL is to maximize the rewards obtained by an agent …

With recent advances in artificial intelligence (AI), it is time to take a review of learning
process as an approach for production scheduling. Neural networks, reinforcement learning …

Shop scheduling is an effective way for manufacturers to improve their manufacturing
performances. However, due to its complexity, it is difficult to deal with shop scheduling …

For many combinatorial problems encountered in practical applications, there are currently
no efficient solution algorithms available. In particular, such problems are often NP-hard and …

Poor planning on the construction site at the 'look-ahead'planning stage (where information
from diverse sources is integrated as plans are being developed for the next six weeks) …

[ES] En el Sistema de planificación y Control de Operaciones (SPCO) la programación de la
producción se ubica en el ámbito de las decisiones a corto plazo e implica un nivel de …