242 citations · 388 across the 13 of their papers we have counts for
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cs.NE2023★ 2 cited
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization
Yansong Huang, Zherui Zhang, Ao Jiao +2
Evolutionary multi-objective optimization (EMO) algorithms have been demonstrated to be effective in solving multi-criteria decision-making problems. In real-world applications, an…
cs.NE2023★ 91 cited
Evolutionary Reinforcement Learning: A Survey
Hui Bai, Ran Cheng, Yaochu Jin
Reinforcement learning (RL) is a machine learning approach that trains agents to maximize cumulative rewards through interactions with environments. The integration of RL with deep…
cs.NE2023★ 2 cited
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
Beichen Huang, Ran Cheng, Zhuozhao Li +2
Inspired by natural evolutionary processes, Evolutionary Computation (EC) has established itself as a cornerstone of Artificial Intelligence. Recently, with the surge in data-inten…