Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
Fuente:
arXiv
Saved in:
| Main Authors: | Echeverria, Imanol, Murua, Maialen, Santana, Roberto |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Evaluation for Job-Shop Scheduling
by: Echeverria, Imanol, et al.
Published: (2025)
by: Echeverria, Imanol, et al.
Published: (2025)
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach
by: Echeverria, Imanol, et al.
Published: (2023)
by: Echeverria, Imanol, et al.
Published: (2023)
Offline reinforcement learning for job-shop scheduling problems
by: Echeverria, Imanol, et al.
Published: (2024)
by: Echeverria, Imanol, et al.
Published: (2024)
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
by: Tang, Yu, et al.
Published: (2026)
by: Tang, Yu, et al.
Published: (2026)
Learning Flexible Job Shop Scheduling under Limited Buffers and Material Kitting Constraints
by: Zhang, Shishun, et al.
Published: (2026)
by: Zhang, Shishun, et al.
Published: (2026)
Investigation of the Generalisation Ability of Genetic Programming-evolved Scheduling Rules in Dynamic Flexible Job Shop Scheduling
by: Zhu, Luyao, et al.
Published: (2026)
by: Zhu, Luyao, et al.
Published: (2026)
Learning to Solve Job Shop Scheduling under Uncertainty
by: Infantes, Guillaume, et al.
Published: (2024)
by: Infantes, Guillaume, et al.
Published: (2024)
ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection
by: Cao, Shijie, et al.
Published: (2025)
by: Cao, Shijie, et al.
Published: (2025)
Policy-Based Deep Reinforcement Learning Hyperheuristics for Job-Shop Scheduling Problems
by: Lassoued, Sofiene, et al.
Published: (2026)
by: Lassoued, Sofiene, et al.
Published: (2026)
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem
by: Kobrosly, Lotfi, et al.
Published: (2025)
by: Kobrosly, Lotfi, et al.
Published: (2025)
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
by: Smit, Igor G., et al.
Published: (2024)
by: Smit, Igor G., et al.
Published: (2024)
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
by: Zhang, Cong, et al.
Published: (2024)
by: Zhang, Cong, et al.
Published: (2024)
Variational Approach for Job Shop Scheduling
by: Oh, Seung Heon, et al.
Published: (2026)
by: Oh, Seung Heon, et al.
Published: (2026)
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
by: Wang, Jiaqi, et al.
Published: (2026)
by: Wang, Jiaqi, et al.
Published: (2026)
HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers
by: Soykan, Bulent
Published: (2026)
by: Soykan, Bulent
Published: (2026)
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
by: Zhang, Cong, et al.
Published: (2022)
by: Zhang, Cong, et al.
Published: (2022)
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem
by: Lee, Jaejin, et al.
Published: (2024)
by: Lee, Jaejin, et al.
Published: (2024)
Self-Labeling the Job Shop Scheduling Problem
by: Corsini, Andrea, et al.
Published: (2024)
by: Corsini, Andrea, et al.
Published: (2024)
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem
by: Boveroux, Laurie, et al.
Published: (2025)
by: Boveroux, Laurie, et al.
Published: (2025)
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
by: Smit, Igor G., et al.
Published: (2024)
by: Smit, Igor G., et al.
Published: (2024)
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Sirui, et al.
Published: (2025)
by: Li, Sirui, et al.
Published: (2025)
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
by: van Remmerden, Jesse, et al.
Published: (2024)
by: van Remmerden, Jesse, et al.
Published: (2024)
An Expectation-Maximization Algorithm-based Autoregressive Model for the Fuzzy Job Shop Scheduling Problem
by: Wang, Yijian, et al.
Published: (2025)
by: Wang, Yijian, et al.
Published: (2025)
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)
DyRo-MCTS: A Robust Monte Carlo Tree Search Approach to Dynamic Job Shop Scheduling
by: Chen, Ruiqi, et al.
Published: (2025)
by: Chen, Ruiqi, et al.
Published: (2025)
RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States
by: Xiao, Xiangjie, et al.
Published: (2026)
by: Xiao, Xiangjie, et al.
Published: (2026)
Starjob: Dataset for LLM-Driven Job Shop Scheduling
by: Abgaryan, Henrik, et al.
Published: (2025)
by: Abgaryan, Henrik, et al.
Published: (2025)
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods
by: Reijnen, Robbert, et al.
Published: (2023)
by: Reijnen, Robbert, et al.
Published: (2023)
Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
by: Liao, Rongjie, et al.
Published: (2025)
by: Liao, Rongjie, et al.
Published: (2025)
Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Yujie, et al.
Published: (2026)
by: Li, Yujie, et al.
Published: (2026)
An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources
by: Link, Moritz, et al.
Published: (2026)
by: Link, Moritz, et al.
Published: (2026)
Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States
by: Wang, Da, et al.
Published: (2025)
by: Wang, Da, et al.
Published: (2025)
Genetic-based Constraint Programming for Resource Constrained Job Scheduling
by: Nguyen, Su, et al.
Published: (2024)
by: Nguyen, Su, et al.
Published: (2024)
Policy-Based Reinforcement Learning with Action Masking for Dynamic Job Shop Scheduling under Uncertainty: Handling Random Arrivals and Machine Failures
by: Lassoued, Sofiene, et al.
Published: (2026)
by: Lassoued, Sofiene, et al.
Published: (2026)
Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment
by: Fernández, Pablo Ariño
Published: (2025)
by: Fernández, Pablo Ariño
Published: (2025)
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics
by: Schneevogt, Malte, et al.
Published: (2024)
by: Schneevogt, Malte, et al.
Published: (2024)
Solving the Aircraft Disassembly Scheduling Problem
by: Thomas, Charles, et al.
Published: (2026)
by: Thomas, Charles, et al.
Published: (2026)
Low-Cost Labels, Reliable Choices: Rollout-Calibrated Hyper-Heuristics for Job Shop Scheduling
by: Wei, Junhao, et al.
Published: (2026)
by: Wei, Junhao, et al.
Published: (2026)
Machine Learning and Constraint Programming for Efficient Healthcare Scheduling
by: Said, Aymen Ben, et al.
Published: (2024)
by: Said, Aymen Ben, et al.
Published: (2024)
Similar Items
-
Self-Evaluation for Job-Shop Scheduling
by: Echeverria, Imanol, et al.
Published: (2025) -
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach
by: Echeverria, Imanol, et al.
Published: (2023) -
Offline reinforcement learning for job-shop scheduling problems
by: Echeverria, Imanol, et al.
Published: (2024) -
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
by: Tang, Yu, et al.
Published: (2026) -
Learning Flexible Job Shop Scheduling under Limited Buffers and Material Kitting Constraints
by: Zhang, Shishun, et al.
Published: (2026)