2 citations · 3 across the 5 of their papers we have counts for
5 papers
Learning to Sample in Variable Neighborhood Search Algorithm for Urban Cable Routing Optimization
Wei Liu, Rui Wang, Chenhui Lin +3
Urban underground cable construction is essential for enhancing power grid reliability, yet the high construction costs demand systematic optimization. Constrained by road network…
Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
Xu Yang, Rui Wang, Kaiwen Li +2
Meta-black-box optimization has been significantly advanced through the use of large language models (LLMs), yet in fancy on constrained evolutionary optimization. In this work, Aw…
Graph Attention Networks Unleashed: A Fast and Explainable Vulnerability Assessment Framework for Microgrids
Wei Liu, Tao Zhang, Chenhui Lin +2
Independent microgrids are crucial for supplying electricity by combining distributed energy resources and loads in scenarios like isolated islands and field combat. Fast and accur…
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 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…