Adaptive evolution strategies for stochastic zeroth-order optimization

We consider solving a class of unconstrained optimization problems in which only stochastic estimates of the objective functions are available. Existing stochastic optimization methods are mainly extended from gradient-based methods, faced with the challenges of noisy function evaluations, hardness...

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Main Authors: He, Xiaoyu, Zheng, Zibin, Chen, Zefeng, Zhou, Yuren
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2022
主題:
在線閱讀:https://hdl.handle.net/10356/162832
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機構: Nanyang Technological University
語言: English