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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Bibliographic Details
Main Authors: He, Xiaoyu, Zheng, Zibin, Chen, Zefeng, Zhou, Yuren
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/162832