Latest Research in Logistics Scheduling Algorithms

Top Research Topics in Logistics Scheduling Algorithms

• Scheduling and Optimization Algorithms — 22 papers
• Robotics — 18 papers
• Infrastructure Maintenance and Monitoring — 13 papers
• Vehicle Routing Optimization Methods — 11 papers
• Machine Learning — 10 papers
• Data Structures and Algorithms — 9 papers
• Reliability and Maintenance Optimization — 8 papers
• Artificial Intelligence — 7 papers
• Optimization and Control — 5 papers
• Computer Vision and Pattern Recognition — 4 papers

Highest-Cited Papers

1. Constrained distributed heterogeneous two-facility location problems with max-variant cost
2. Multi-knowledge driven distributed heterogeneous co-evolution for fuzzy distributed assembly flowshop deadlock-free scheduling
3. A human-AI agents collaborative disassembly depth reasoning method for end-of-life automotive batteries under uncertain operating conditions
4. Application of Machine Learning in Municipal Pavement Condition Predictions
5. An LLM-assisted optimization algorithm for energy-efficient flexible job shop scheduling problem with unreliable machines and AGVs
6. A model-driven framework for supervised reconfiguration of satellite schedulers
7. Reinforcement learning for initializing genetic algorithms in vehicle routing
8. Optimizations problems for a k -out-of- n system under interval replacement
9. GridSage: A Skill-grounded LLM platform for scenario-oriented reinforcement learning evaluation in distribution networks
10. Horizon-dependent pavement roughness forecasting with machine learning and treatment history
11. A Simulation Platform for AUV Fault Recovery: Exploring LLM-Based Diagnostic Strategies
12. Modelling and Model-Checking a ROS2 Multi-Robot System using Timed Rebeca
13. A reliability-aware framework for campaign-scale lunar construction logistics with space-elevator transshipment
14. Reliability modeling for multi-state systems with a protective device subject to degradation-shock competing failure
15. A Metaheuristic Optimization Framework for Discrete Optimization under Strict Time Limits
16. Variational Approach for Job Shop Scheduling
17. Research on Dynamic Planning of a Modular Cabin Assembly Sequence for Large Cruise Ships Based on an Improved Genetic Algorithm
18. Transferable reinforcement learning for demand-responsive transit scheduling via offline pre-training and online fine-tuning
19. Flexible control technology of industrial robot clusters: a survey
20. Endogenous FIFO-Batch Control for Dynamic Yard-to-Ferry Loading: A Deterministic Two-Stage Receding-Horizon Rollout

Sub-Regions

• Scheduling and Optimization Algorithms — 22 papers
• Machine Learning — 21 papers
• Reliability and Maintenance Optimization — 19 papers
• Vehicle Routing Optimization Methods — 16 papers
• Optimization and Control — 14 papers
• Game Theory and Voting Systems — 14 papers