DeepACO: neural-enhanced ant systems for combinatorial optimization

H Ye, J Wang, Z Cao, H Liang… - Advances in Neural …, 2024 - proceedings.neurips.cc
Abstract Ant Colony Optimization (ACO) is a meta-heuristic algorithm that has been
successfully applied to various Combinatorial Optimization Problems (COPs). Traditionally …

Glop: Learning global partition and local construction for solving large-scale routing problems in real-time

H Ye, J Wang, H Liang, Z Cao, Y Li, F Li - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The recent end-to-end neural solvers have shown promise for small-scale routing problems
but suffered from limited real-time scaling-up performance. This paper proposes GLOP …

Integrating Machine Learning into Vehicle Routing Problem: Methods and Applications

R Shahbazian, LDP Pugliese, F Guerriero… - IEEE …, 2024 - ieeexplore.ieee.org
The vehicle routing problem (VRP) and its variants have been intensively studied by the
operational research community. The existing surveys and the majority of the published …

Cross-region courier displacement for on-demand delivery with multi-agent reinforcement learning

S Wang, S Hu, B Guo, G Wang - IEEE Transactions on Big Data, 2023 - ieeexplore.ieee.org
On-demand delivery has become prevailing for people to order meals and groceries online,
especially during the pandemic. It is essential to dispatch massive orders to limited couriers …

Rolling optimal scheduling for urban parcel crowdsourced delivery with new order insertion

X Liang, H Yang, Z Wang - Computers & Operations Research, 2024 - Elsevier
The rapid development of mobile information technology has introduced numerous new
solutions for delivery companies to enhance profits. One such solution employed by some …

Trailer allocation and truck routing using bipartite graph assignment and deep reinforcement learning

S Kalantari, R Safarzadeh Ramhormozi… - Transactions in …, 2023 - Wiley Online Library
Trailer allocation and truck routing are critical components of truck transportation
management. However, in real‐world applications, inter‐influence between selecting the …

Coordinate Package Delivery and On-Demand Rides: A Zoning Policy and Analysis

J Cao, S Liu - Available at SSRN, 2023 - papers.ssrn.com
Cities are facing mounting pressure from the surging demand for package delivery and on-
demand ride services. Meanwhile, more drivers are empowered by platforms to provide …

[PDF][PDF] Last-Mile Delivery Problem Representation in Reinforcement Learning

CA Martins - 2023 - repositorio-aberto.up.pt
The last-mile delivery problem refers to the final phase of the delivery process, the item's trip
between the last warehouse and the customer's house. Due to its substantial cost, it makes a …