4 papers
RL-Guided Quantum-ALNS for Constrained VRP
Farzan Moosavi, Bilal Farooq
This study develops a hybrid quantum-classical framework for constrained vehicle routing problems, focusing on the pickup-and-delivery problem with time windows. Instead of casting…
Quantum-Efficient Reinforcement Learning Solutions for Last-Mile On-Demand Delivery
Farzan Moosavi, Bilal Farooq
Quantum computation has demonstrated a promising alternative to solving the NP-hard combinatorial problems. Specifically, when it comes to optimization, classical approaches become…
A Coalition Game for On-demand Multi-modal 3D Automated Delivery System
Farzan Moosavi, Bilal Farooq
We introduce a multi-modal autonomous delivery optimization framework as a coalition game for a fleet of UAVs and ADRs operating in two overlaying networks to address last-mile del…
Sphereabout: A Spherical Intersection Design for Networked Urban Air Mobility
Farzan Moosavi, Bilal Farooq
Urban aerial mobility is rapidly expanding, specifically on-demand Unmanned Aerial Vehicle (UAV) delivery services in urban environments. This necessitates management of the low-al…