Hybrid Metaheuristic Approaches for Vehicle Routing Optimization in Distribution Networks: GWO, SOS, ACO and Their Combinations

Maxsi Ary, Titik Khawa Abdul Rahman, Rangga Sanjaya, Budi Fitriadi, Erika Nurmartiani, dan Hetti Herawati

2025 19th International Conference on Telecommunication Systems, Services, and Applications (TSSA)

View DOI Journal URL

Metadata Publikasi

Kategori: Seminar Internasional Scopus
Jurnal/Sumber: 2025 19th International Conference on Telecommunication Systems, Services, and Applications (TSSA)
Penerbit: IEEE
ISSN: -
Tanggal Publikasi: 29 Desember 2025
Volume / Issue: -
DOI: 10.1109/TSSA68467.2025.11303800
URL Jurnal: https://ieeexplore.ieee.org/document/11303800

Penulis dan Afiliasi

Maxsi Ary Universitas ARS - Corresponding author

Titik Khawa Abdul Rahman Asia e University

Rangga Sanjaya Universitas ARS

Budi Fitriadi Universitas Sangga Buana

Erika Nurmartiani Universitas Sangga Buana

Hetti Herawati Universitas Sangga Buana

Abstrak

Optimal distribution systems to reduce costs and improve service quality have become a necessity in the logistics sector. This study addresses the Vehicle Routing Problem (VRP) using a hybrid metaheuristic algorithm. The algorithm is called HMGSA (Hybrid Metaheuristic Grey Wolf Optimization, Symbiotic Organism Search, and Ant Colony Optimization). The HMGSA algorithm is a hybrid of the exploratory stage of GWO, the mutualism, commensalism, and parasitism stages of SOS, and the path construction stage of ACO. Experiments were conducted on benchmark datasets and on real-world distribution data. The results indicate that HMGSA achieved a global best distance of 699 km, with improvements of up to 160% compared to GWO. Furthermore, HMGSA outperformed other algorithms in terms of convergence stability and reliability. These findings affirm the potential of HMGSA as a practical solution for routing optimisation in modern logistics distribution systems.

Kata Kunci

Logistics optimisation hybrid metaheuristics distribution network route optimisation algorithm convergence

Citation

BibTeX EndNote RefMan RefWorks

APA

Ary, M., Rahman, T. K. A., Sanjaya, R., Fitriadi, B., Nurmartiani, E. & Herawati, H. (2025). Hybrid Metaheuristic Approaches for Vehicle Routing Optimization in Distribution Networks: GWO, SOS, ACO and Their Combinations. 2025 19th International Conference on Telecommunication Systems, Services, and Applications (TSSA), https://doi.org/10.1109/TSSA68467.2025.11303800.

Chicago

Maxsi Ary, Titik Khawa Abdul Rahman, Rangga Sanjaya, Budi Fitriadi, Erika Nurmartiani, and Hetti Herawati. "Hybrid Metaheuristic Approaches for Vehicle Routing Optimization in Distribution Networks: GWO, SOS, ACO and Their Combinations." 2025 19th International Conference on Telecommunication Systems, Services, and Applications (TSSA) (2025). https://doi.org/10.1109/TSSA68467.2025.11303800.

Harvard

Ary, M., Rahman, T. K. A., Sanjaya, R., Fitriadi, B., Nurmartiani, E. and Herawati, H. 2025, "Hybrid Metaheuristic Approaches for Vehicle Routing Optimization in Distribution Networks: GWO, SOS, ACO and Their Combinations", 2025 19th International Conference on Telecommunication Systems, Services, and Applications (TSSA), doi: 10.1109/TSSA68467.2025.11303800.