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Job Shop Scheduling

Scheduling Task

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Showing 51–75 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
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