8 citations · 9 across the 7 of their papers we have counts for
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cs.NE2023★ 8 cited
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
Qiqi Duan, Chang Shao, Guochen Zhou +3
In the post-Moore era, main performance gains of black-box optimizers are increasingly depending on parallelism, especially for large-scale optimization (LSO). Here we propose to p…
cs.RO2023
QwenGrasp: A Usage of Large Vision-Language Model for Target-Oriented Grasping
Xinyu Chen, Jian Yang, Zonghan He +3
Target-oriented grasping in unstructured scenes with language control is essential for intelligent robot arm grasping. The ability for the robot arm to understand the human languag…
cs.NE2023
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design
Qi Zhao, Bai Yan, Taiwei Hu +4
Metaheuristics are prominent gradient-free optimizers for solving hard problems that do not meet the rigorous mathematical assumptions of analytical solvers. The canonical manual o…