A review of reinforcement learning based intelligent optimization for manufacturing scheduling
As the critical component of manufacturing systems, production scheduling aims to optimize
objectives in terms of profit, efficiency, and energy consumption by reasonably determining …
objectives in terms of profit, efficiency, and energy consumption by reasonably determining …
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism
Y Zeng, Z Liao, Y Dai, R Wang, X Li, B Yuan - arXiv preprint arXiv …, 2022 - arxiv.org
The dynamic job-shop scheduling problem (DJSP) is a class of scheduling tasks that
specifically consider the inherent uncertainties such as changing order requirements and …
specifically consider the inherent uncertainties such as changing order requirements and …
Multi-Objective Flexible Flow Shop Production Scheduling Problem Based on the Double Deep Q-Network Algorithm
H Gong, W Xu, W Sun, K Xu - Processes, 2023 - mdpi.com
In this paper, motivated by the production process of electronic control modules in the digital
electronic detonators industry, we study a multi-objective flexible flow shop scheduling …
electronic detonators industry, we study a multi-objective flexible flow shop scheduling …
An online reinforcement learning approach for solving the dynamic flexible job-shop scheduling problem for multiple products and constraints
NEDA Said, Y Samaha, E Azab… - 2021 International …, 2021 - ieeexplore.ieee.org
In the manufacturing industries, the most challenging problems are mostly related to time
efficiency and customer satisfaction. This is mainly translated to how efficient is the frequent …
efficiency and customer satisfaction. This is mainly translated to how efficient is the frequent …
[PDF][PDF] Optimization of heavily constrained hybrid-flexible flowshop problems using a multi-agent reinforcement learning approach
YC Fonseca-Reyna, Y Martínez-Jiménez… - Investigación …, 2019 - researchgate.net
This paper presents an adaptation of the Reinforcement Learning approach known as Q-
Learning to solve a scheduling problem that comes from industry. The problem studied in …
Learning to solve a scheduling problem that comes from industry. The problem studied in …
[PDF][PDF] An improvement of reinforcement learning approach for permutation of flow-shop scheduling problems
YCF Reyna, AP Cáceres, YM Jiménez… - Revista Ibérica de …, 2019 - researchgate.net
The tasks scheduling problem on linear production systems, Flow Shop Scheduling
Problem, has been of a great importance in Operations Research. This paper addresses the …
Problem, has been of a great importance in Operations Research. This paper addresses the …
[HTML][HTML] Un algoritmo genético híbrido para la optimización del Flow Shop Scheduling bajo restricciones de entornos reales
R Najarro, R López, RE Racines, A Puris - Enfoque UTE, 2017 - scielo.senescyt.gob.ec
Este trabajo tiene como objetivo analizar el efecto de la inclusión de varias restricciones
que influyen negativamente en la programación de la producción en un ambiente de …
que influyen negativamente en la programación de la producción en un ambiente de …
An Hybrid Genetic Algorithm to Optimization of Flow Shop Scheduling Problems under Real Environments Constraints
R Najarro, R López, RE Racines, A Puris - Enfoque UTE, 2017 - scielo.senescyt.gob.ec
Este trabajo tiene como objetivo analizar el efecto de la inclusión de varias restricciones
que influyen negativamente en la programación de la producción en un ambiente de …
que influyen negativamente en la programación de la producción en un ambiente de …
[PDF][PDF] Un Algoritmo Genético Híbrido para la Optimización del Flow Shop Scheduling bajo Restricciones de Entornos Reales (An Hybrid Genetic Algorithm to …
R Najarro, R López, RE Racines, A Puris - academia.edu
Este trabajo tiene como objetivo analizar el efecto de la inclusión de varias restricciones
que influyen negativamente en la programación de la producción en un ambiente de …
que influyen negativamente en la programación de la producción en un ambiente de …
[引用][C] Sistema para la optimización del proceso de secuenciación de reportes con múltiples restricciones
JC Palacio - 2018 - … Central “Marta Abreu” de Las Villas