5 papers
SEAFormer: A Spatial Proximity and Edge-Aware Transformer for Real-World Vehicle Routing Problems
Saeed Nasehi Basharzad, Farhana Choudhury, Egemen Tanin
Real-world Vehicle Routing Problems (RWVRPs) require solving complex, sequence-dependent challenges at scale with constraints such as delivery time window, replenishment or recharg…
Dynamic Configuration of On-Street Parking Spaces using Multi Agent Reinforcement Learning
Oshada Jayasinghe, Farhana Choudhury, Egemen Tanin +1
With increased travelling needs more than ever, traffic congestion has become a major concern in most urban areas. Allocating spaces for on-street parking, further hinders traffic…
GrASP: A Generalizable Address-based Semantic Prefetcher for Scalable Transactional and Analytical Workloads
Farzaneh Zirak, Farhana Choudhury, Renata Borovica-Gajic
Data prefetching--loading data into the cache before it is requested--is essential for reducing I/O overhead and improving database performance. While traditional prefetchers focus…
DeepMDV: Global Spatial Matching for Multi-depot Vehicle Routing Problems
Saeed Nasehi, Farhana Choudhury, Egemen Tanin +1
The rapid growth of online retail and e-commerce has made effective and efficient Vehicle Routing Problem (VRP) solutions essential. To meet rising demand, companies are adding mor…
Learned Indexes with Distribution Smoothing via Virtual Points
Kasun Amarasinghe, Farhana Choudhury, Jianzhong Qi +1
Recent research on learned indexes has created a new perspective for indexes as models that map keys to their respective storage locations. These learned indexes are created to app…