most citedLearning for routing: A guided review of recent developments and future directions

15 citations · 15 across the 4 of their papers we have counts for

collaborators

7 papers

cs.AI2026

GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions

Attila Lischka, Ze Zhou, Xuegang +2

Online, same-day delivery requires operators to constantly update their routes, and the routing cost for deliveries increases with the number of customers. Out-of-home (OOH) delive…

eess.SY2026

From Demand to System Co-Shaping: A Review of User Roles in Transportation Systems

Fangting Zhou, Balazs Kulcsar, Jelena Andric

Users are central to transportation systems, yet their roles are often simplified in transportation modeling and decision-making. Conventional approaches primarily represent users…

math.OC2026

Assortment Control Unlocks the Value of Dynamic Pricing in Mixed Last-Mile Delivery

Ze Zhou, Balázs Kulcsár

The growth of e-commerce has intensified the need for last-mile delivery systems that can jointly manage customer choice and operational efficiency. We study the Dynamic Offering a…

math.OC2026

A user-driven pricing and scheduling framework for public electric vehicle charging

Fangting Zhou, Jiaming Wu, Balazs Kulcsar

Public electric vehicle (EV) charging infrastructure has expanded rapidly, yet utilization across charging stations remains uneven and often inefficient. Existing operator-determin…

cs.AI2025★ 15 cited

Learning for routing: A guided review of recent developments and future directions

Fangting Zhou, Attila Lischka, Balazs Kulcsar +3

This paper reviews the current progress in applying machine learning (ML) tools to solve NP-hard combinatorial optimization problems, with a focus on routing problems such as the t…

cs.LG2025

Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs

Filip Rydin, Attila Lischka, Jiaming Wu +2

Learning-based methods for routing have gained significant attention in recent years, both in single-objective and multi-objective contexts. Yet, existing methods are unsuitable fo…

math.OC2025

The large-scale charging scheduling problem for fleet batteries: Lagrangian decomposition with time-block reformulations

Sunney Fotedar, Jiaming Wu, Balazs Kulcsar +1

There is a rise in the need for efficient battery charging methods due to the high penetration of electromobility solutions. Battery swapping, a technique in which fully or partial…