job shop scheduling

A Solution Space Transformation-Guided Co-Evolution for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling AAAI 2026 Learning to Optimize Job Shop Scheduling Under Structural Uncertainty AAAI 2026 Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels AAAI 2025 Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling ICLR 2025 Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems AAAI 2025 NS4S: Neighborhood Search for Scheduling Problems Via Large Language Models IJCAI 2025 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling ICLR 2024 Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem UAI 2024 Self-Labeling the Job Shop Scheduling Problem NeurIPS 2024 Combinatorial Optimization with Policy Adaptation using Latent Space Search NeurIPS 2023 On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling IJCAI 2023 Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method AAAI 2022 Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes IJCAI 2022 Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning NeurIPS 2020 A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem AAAI 2019