7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
Rui Wang, Zhiming Zhou, Tao Zhang +4
Branch-and-bound is a typical way to solve combinatorial optimization problems. This paper proposes a graph pointer network model for learning the variable selection policy in the…
cs.NE2022★ 7 cited
Large-scale matrix optimization based multi microgrid topology design with a constrained differential evolution algorithm
Wenhua Li, Shengjun Huang, Tao Zhang +2
Binary matrix optimization commonly arise in the real world, e.g., multi-microgrid network structure design problem (MGNSDP), which is to minimize the total length of the power sup…
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…