8 citations · 19 across the 4 of their papers we have counts for
4 papers
Deep Reinforcement Learning for Dynamic Order Picking in Warehouse Operations
Sasan Mahmoudinazlou, Abhay Sobhanan, Hadi Charkhgard +2
Order picking is a pivotal operation in warehouses that directly impacts overall efficiency and profitability. This study addresses the dynamic order picking problem, a significant…
Deep Reinforcement Learning for Picker Routing Problem in Warehousing
George Dunn, Hadi Charkhgard, Ali Eshragh +2
Order Picker Routing is a critical issue in Warehouse Operations Management. Due to the complexity of the problem and the need for quick solutions, suboptimal algorithms are freque…
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem
Sasan Mahmoudinazlou, Changhyun Kwon
This paper proposes a hybrid genetic algorithm for solving the Multiple Traveling Salesman Problem (mTSP) to minimize the length of the longest tour. The genetic algorithm utilizes…
A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
Sasan Mahmoudinazlou, Changhyun Kwon
There are emerging transportation problems known as the Traveling Salesman Problem with Drone (TSPD) and the Flying Sidekick Traveling Salesman Problem (FSTSP) that involve using a…