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Mathematical model and hybrid meta-heuristic solution approaches for hub location problem with hybrid drone-airplane delivery mode | ||
| Journal of Mathematical Modeling | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 18 آذر 1404 اصل مقاله (9.3 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22124/jmm.2025.31720.2857 | ||
| نویسندگان | ||
| Mehrnaz Mohebbi1؛ Hamid Reza Maleki* 2؛ Sadegh Niroomand1 | ||
| 1Shiraz University of Technology | ||
| 2Faculty of Mathematics, Shiraz University of Technology, Shiraz, Iran | ||
| چکیده | ||
| This study addresses the integrated hub location and drone delivery problem, an area with few5 prior investigations. We propose a bi-objective integer linear programming model to minimize total cost and total drone route time. A novel three-zone structure allows drone transfers between zones via cargo planes, enhancing realism and complexity. Drone capacities are categorized as light and heavy, improving allocation flexibility. Due to the model’s complexity, several metaheuristic algorithms including Genetic Algorithm, Differential Evolution, Simulated Annealing, and their hybrid versions (SA-GA and SA-DE) are developed and compared. Parameter tuning is performed using the Taguchi method. Computational experiments on various instances show that hybrid algorithms outperform classical methods and scale effectively for larger problems, providing a practical and integrated framework for hub location and drone delivery planning. | ||
| کلیدواژهها | ||
| Hub location problem؛ Drone delivery problem؛ Meta-heuristic algorithm؛ Hybrid meta-heuristic algorithm؛ Taguchi method | ||
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آمار تعداد مشاهده مقاله: 1 تعداد دریافت فایل اصل مقاله: 2 |
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