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Job Shop Scheduling

Scheduling Task

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Showing 26–50 of 92 papers

TitleStatusHype
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement LearningCode1
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models—0
ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning—0
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem—0
Unraveling the Rainbow: can value-based methods schedule?Code0
Neural Combinatorial Optimization via Preference Optimization—0
Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States—0
Self-Evaluation for Job-Shop Scheduling—0
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem—0
A Benchmarking Environment for Worker Flexibility in Flexible Job Shop Scheduling Problems—0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
Offline reinforcement learning for job-shop scheduling problems—0
A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0—0
A History-Guided Regional Partitioning Evolutionary Optimization for Solving the Flexible Job Shop Problem with Limited Multi-load Automated Guided Vehicles—0
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics—0
Offline Reinforcement Learning for Learning to Dispatch for Job Shop SchedulingCode0
Developing an Algorithm Selector for Green Configuration in Scheduling Problems—0
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem—0
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times—0
Graph Neural Networks for Job Shop Scheduling Problems: A Survey—0
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling—0
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations—0
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem—0
Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing—0
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem—0
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