ACRouter picks the smartest AI model per task, beating Opus-only setups by 2.6x on cost

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...
GitHub

Towards Foundation Models for Vehicle Routing Problems

Note that this project is also compatible with normal pip install -e . in case you use a different package manager. Data generation: We also include scripts to re-generate data manually (reproducible ...
IEEE

Solving Capacitated and Time-constrained Vehicle Routing Problems by Deep Reinforcement Learning-based Method

Abstract: The Capacitated and Time-Constrained Vehicle Routing Problem (CTCVRP) is regarded as a complex but essential, optimization mission in logistics and transportation systems. In this paper, we ...
IEEE

On the Split Delivery Vehicle Routing Problem Based on Python

Abstract: This paper studies the split delivery vehicle routing problem (SDVRP) with single depot, single type of vehicle, without windows, loading-unloading. Then, the three subscript mathematical ...
Frontiers

Robot-Based Last-Mile Deliveries With Pedestrian Zones

Since delivery robots share sidewalks with pedestrians, it may be beneficial to choose paths for them that avoid zones with high pedestrian density. In this paper, we investigate a robot-based ...
Frontiers

Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach

In the past few years, the importance of electric mobility has increased in response to growing concerns about climate change. However, limited cruising range and sparse charging infrastructure could ...