DOAJ Open Access 2026

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

Kassem Danach Samir Haddad Wissam Khalil Ziad El Balaa Jinane Sayah

Abstrak

IntroductionThe rapid growth of e-commerce has increased pressure on postal logistics networks, especially in remote regions.MethodsThis study proposes a fuzzy hyperheuristic genetic algorithm for optimizing a facilitated hub-and-spoke network with drone integration under uncertainty.ResultsThe 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%).DiscussionResults highlight the effectiveness of fuzzy optimization and adaptive hyperheuristics in designing resilient and cost-efficient postal logistics systems.

Topik & Kata Kunci

Applied mathematics. Quantitative methods Probabilities. Mathematical statistics

Penulis (5)

Kassem Danach

Samir Haddad

Wissam Khalil

Ziad El Balaa

Jinane Sayah

Format Sitasi

APA MLA BibTeX

Danach, K., Haddad, S., Khalil, W., Balaa, Z.E., Sayah, J. (2026). Fuzzy hyperheuristic optimization of a facilitated hub-and-spoke drone-enabled logistics network: a case study of Australia Post. https://doi.org/10.3389/fams.2026.1742828

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Informasi Jurnal

Tahun Terbit: 2026
Sumber Database: DOAJ
DOI: 10.3389/fams.2026.1742828
Akses: Open Access ✓