[2604.03280] Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network

Computer Science > Multiagent Systems arXiv:2604.03280 (cs) [Submitted on 24 Mar 2026] Title:Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network Authors:Md Nahid Hasan, Vishwam Tiwari, Aditya Challa, Vaskar Raychoudhury, Snehanshu Saha View a PDF of the paper titled Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network, by Md Nahid Hasan and 4 other authors View PDF HTML (experimental) Abstract:Delivery systems have become a core part of urban life, supporting the demand for food, medicine, and other goods. Yet traditional logistics networks remain fragile, often struggling to adapt to road closures, accidents, and shifting demand. Online Food Delivery (OFD) platforms now represent a cornerstone of urban logistics, with the global market projected to grow to over 500 billion USD by 2030. Designing delivery networks that are efficient and resilient remains a major challenge: fully connected graphs provide flexibility but are computationally infeasible at scale, while single Minimum Spanning Trees (MSTs) are efficient but easily disrupted. We propose the Union of Minimum Spanning Trees (UMST) approach to construct delivery networks that are sparse yet robust. UMST generates multiple MSTs through randomized edge perturbations and unites them, producing graphs with far fewer edges than fully connected networks while maintaining multiple alternative routes between delivery hotspots. Across multiple U.S. cities, UMST achi...