435 citations · 549 across the 10 of their papers we have counts for
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cs.NE2022
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization
Wei Liu, Rui Wang, Tao Zhang +3
Multi-objective orienteering problems (MO-OPs) are classical multi-objective routing problems and have received a lot of attention in the past decades. This study seeks to solve MO…
cs.LG2022★ 3 cited
Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer
Kaiwen Li, Tao Zhang, Rui Wang +1
The unmanned aerial vehicle (UAV) plays an vital role in various applications such as delivery, military mission, disaster rescue, communication, etc., due to its flexibility and v…
cs.NE2022★ 2 cited
Deep Reinforcement Learning for Orienteering Problems Based on Decomposition
Wei Liu, Tao Zhang, Rui Wang +3
This paper presents a new method for solving an orienteering problem (OP) by breaking it down into two parts: a knapsack problem (KP) and a traveling salesman problem (TSP). A KP s…