435 citations · 643 across the 8 of their papers we have counts for
4 papers · 1 filter
Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization
Wenhua Li, Xingyi Yao, Kaiwen Li +3
Most multimodal multi-objective evolutionary algorithms (MMEAs) aim to find all global Pareto optimal sets (PSs) for a multimodal multi-objective optimization problem (MMOP). Howev…
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…
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…
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…