Latest Research in Scheduling and Optimization Algorithms

Top Research Topics in Scheduling and Optimization Algorithms

• Scheduling and Optimization Algorithms — 9 papers
• Machine Learning — 2 papers
• UAV Applications and Optimization — 2 papers
• Data Structures and Algorithms — 2 papers
• Robotics — 1 papers
• Artificial Intelligence — 1 papers
• Explainable Artificial Intelligence (XAI) — 1 papers
• Manufacturing Process and Optimization — 1 papers
• Optimization and Control — 1 papers
• Railway Systems and Energy Efficiency — 1 papers

Highest-Cited Papers

1. Variational Approach for Job Shop Scheduling
2. Learning efficient representations of complex constraints for scalable optimization
3. Language-Grounded Semantic Target Navigation for Autonomous Surface Vehicles
4. A deep reinforcement learning algorithm with heterogeneous graph and hierarchical attention mechanism for dynamic flexible job shop scheduling problem
5. MAPLE: Memory-Augmented Planning with Language and Evolution
6. A Reinforcement Learning-Based Scheduling Algorithm for Special Material Transportation
7. A Mixed-Integer Programming and Branch-and-Cut Approach for Multi-Unmanned Aerial Vehicle Cooperative Scheduling in Mountain Forest Fire Surveillance
8. Explainable reinforcement learning for smart production scheduling in automotive manufacturing
9. Generative Adversarial Network-Based AI Framework for Adaptive Job Shop Scheduling in Industry 5.0
10. Improved Upper Bounds for Dynamic Bin Packing of General, Unit-Fraction, and Power-Fraction Squares
11. A SETUP-AWARE DEEP REINFORCEMENT LEARNING FRAMEWORK FOR SINGLE-MACHINE SCHEDULING WITH SEQUENCE-DEPENDENT SETUP TIMES USING PROXIMAL POLICY OPTIMIZATION (PPO)
12. Heterogeneous Graph Neural Network-Guided Adaptive Large Neighborhood Search for Flexible Job Shop Scheduling in Panel Furniture Production
13. An Intelligent Disassembly Sequence Optimisation Framework for End-of-Life EV Batteries Using Adaptive Operator Selection
14. Greedy Backbone Matheuristics for Hierarchical Functional Connected Dominating Sets in Heterogeneous Drone Networks
15. Distributed Deep Reinforcement Learning-based Dynamic Routing for Agent-based Manufacturing Execution Systems
16. Transformer-Based Flow Shop Scheduling Using MILP-Generated Training Data
17. Flow Shop Scheduling with Stochastic Reentry
18. Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
19. Routing under machine breakdowns: a benchmark of dispatching rules, bandits, and reinforcement learning for multi-server flow shops
20. Rail vehicle assembly job shop scheduling via hierarchical multi-agent deep reinforcement learning