Work

Diagnostic and Prescriptive Insights through XGBoost, SHAP and Differential Evolution: Application to Last-Mile Delivery in Portugal

Year: 2025

Type: conference-paper

DOI: 10.1109/amlds63918.2025.11159384

Authors: Emmanuel Addo, Ângela F. Brochado, Eugénio M. Rocha

Institution: University of Aveiro

Language: English

Topic: Urban and Freight Transport Logistics

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: Center for Research and Development in Mathematics and Applications

OpenAlex ID: W4414231504

FWCI:

Cites: 9

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