Optimization algorithms for adaptative route sequencing on real-world last-mile deliveries

Optimization algorithms for adaptative route sequencing on real-world last-mile deliveries

Show other versions (1)

This article explores the design and application of machine learning techniques to enhance traditional approaches for solving NP-hard optimization problems. Specifically, it focuses on the Last-Mile Routing Research Challenge (LMRRC), supported by Amazon and MIT, which sought innovative solutions f...

Full description

Bibliographic Details
Main Authors: Fernando Hernandez, Rafael Sotelo, Marcelo Forets
Format: Article
Language:English
Published: Universidad Politécnica Salesiana 2024-01-01
Series:Ingenius: Revista de Ciencia y Tecnología
Subjects:
Optimization Engineering
Cargo Routing
Operations Research
Transport Logistics
International Competition
Online Access:https://revistas.ups.edu.ec/index.php/ingenius/article/view/7410

Internet

https://revistas.ups.edu.ec/index.php/ingenius/article/view/7410

Similar Items