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Job Shop Scheduling

Scheduling Task

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Showing 51–92 of 92 papers

TitleStatusHype
Two-Stage Learning For the Flexible Job Shop Scheduling Problem—0
Solving a Multi-resource Partial-ordering Flexible Variant of the Job-shop Scheduling Problem with Hybrid ASP—0
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach—0
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem—0
Solving the Extended Job Shop Scheduling Problem with AGVs -- Classical and Quantum Approaches—0
Modular Constraint Solver Cooperation via Abstract Interpretation—0
Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics—0
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations—0
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem—0
Neural Combinatorial Optimization via Preference Optimization—0
Offline reinforcement learning for job-shop scheduling problems—0
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics—0
Particle Swarm Optimization with Velocity Restriction and Evolutionary Parameters Selection for Scheduling Problem—0
A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0—0
A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem—0
A heuristic method for data allocation and task scheduling on heterogeneous multiprocessor systems under memory constraints—0
A History-Guided Regional Partitioning Evolutionary Optimization for Solving the Flexible Job Shop Problem with Limited Multi-load Automated Guided Vehicles—0
ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning—0
Algorithms Inspired by Nature: A Survey—0
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling—0
Vehicle management in a modular production context using Deep Q-Learning—0
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems—0
A new neighborhood structure for job shop scheduling problems—0
A Priority-Aware Replanning and Resequencing Framework for Coordination of Connected and Automated Vehicles—0
Recurrent neural network approach for cyclic job shop scheduling problem—0
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems—0
A self-tuning Firefly algorithm to tune the parameters of Ant Colony System (ACSFA)—0
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling—0
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem—0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling—0
Graph neural networks-based Scheduler for Production planning problems using Reinforcement Learning—0
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning—0
A Benchmarking Environment for Worker Flexibility in Flexible Job Shop Scheduling Problems—0
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem—0
Developing an Algorithm Selector for Green Configuration in Scheduling Problems—0
Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States—0
Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning—0
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling—0
Evaluation of bioinspired algorithms for the solution of the job scheduling problem—0
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times—0
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method—0
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