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 |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/162832 |
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Institution: | Nanyang Technological University |
Language: | English |
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