Work

Fuzzy hyperheuristic optimization of a facilitated hub-and-spoke drone-enabled logistics network: a case study of Australia Post

Year: 2026

Type: article

Abstract: Introduction The rapid growth of e-commerce has increased pressure on postal logistics networks, especially in remote regions. Methods This study proposes a fuzzy hyperheuristic genetic algorithm for optimizing a facilitated hub-and-spoke network with drone integration under uncertainty. Results The proposed approach improves service robustness by 25–35% and expands drone coverage to 93.4% of remote demand, with only a modest cost increase (8–12%). Discussion Results highlight the effectiveness of fuzzy optimization and adaptive hyperheuristics in designing resilient and cost-efficient postal logistics systems.

Source: Frontiers in Applied Mathematics and Statistics

DOI: 10.3389/fams.2026.1742828

Authors: Kassem Danach, Samir Haddad, Wissam Khalil, Ziad El Balaa, Jinane Sayah

Institutions: Al Maaref University, University of Balamand, Lebanese University

Language: English

Topic: Vehicle Routing Optimization Methods

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,418