New Publication: "A Hybrid IVFF-AHP and Deep Reinforcement Learning Framework for an ATM Location and Routing Problem"
30.06.2025
The article written by Kübra Yazıcı Şahin, our Research Assistant at the Department of Industrial Engineering, together with Yıldız Technical University, Department of Industrial Engineering, Faculty Member Prof. Dr. Alev Taşkın, İstanbul Topkapı University, Department of Computer Engineering, Faculty Member Dr. Tolga Kudret Karaca, and İzmir Katip Çelebi University, Quality Coordinator, Dr. Bahar Yalçın Kavuş, was published in the international WOS-SCI Q1 indexed journal Applied Sciences. The study aims to develop an innovative two-stage decision support model that integrates IVFF-AHP and Deep Reinforcement Learning to optimize ATM location selection and cash transportation routes in Istanbul, by considering security risks as a priority.
You can access the article titled "A Hybrid IVFF-AHP and Deep Reinforcement Learning Framework for an ATM Location and Routing Problem" at the following link:
https://www.mdpi.com/2076-3417/15/12/6747
You can access the article titled "A Hybrid IVFF-AHP and Deep Reinforcement Learning Framework for an ATM Location and Routing Problem" at the following link:
https://www.mdpi.com/2076-3417/15/12/6747
