A5039161226- Target Tracking and Data Fusion in Sensor Networks
- Inertial Sensor and Navigation
- Facility Location and Emergency Management
- Fault Detection and Control Systems
- Metaheuristic Optimization Algorithms Research
- Underwater Vehicles and Communication Systems
- Underwater Acoustics Research
- Maritime Navigation and Safety
- BIM and Construction Integration
- Industrial Technology and Control Systems
- Vehicle Routing Optimization Methods
- Geophysics and Gravity Measurements
- Adaptive Control of Nonlinear Systems
- Advanced Sensor and Control Systems
Southeast University
2024
Ministry of Education of the People's Republic of China
2024
Shanghai Jiao Tong University
2021
Ming Chuan University
2001
Achieving robust networks is a challenging problem due to its NP-hard nature and complex solution space. Current methods, from handcrafted feature extraction deep learning, have made progress but remain rigid, requiring manual design large labeled datasets. To address these issues, we propose AutoRNet, framework that integrates language models (LLMs) with evolutionary algorithms generate heuristics for network design. We optimization strategies provide domain-specific prompts LLMs, utilizing...
The classical assignment problem seeks to determine a mapping between set of assignees and assignments. linear cost (LCGAP), as generalized model, incorporates the relative workloads Although LCGAP is computationally intractable, it has been extensively studied because its practical implications in many real world situations. Variable-depth-search heuristic (VDSH) method one solution methods that have developed produce quality near-optimal solutions LCGAP. main structure VDSH consists two...