Local Bayesian Optimization For Analog Circuit Sizing
This paper proposes a Bayesian Optimization (BO) algorithm to handle large-scale analog circuit sizing. The proposed approach uses a number of separate Gaussian Process (GP) models approximating the objective and constraint functions locally in the search space. Unlike mainstream BO approaches, it i...
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| Published in: | 2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 1237 - 1242 |
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| Main Authors: | , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
05.12.2021
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| Subjects: | |
| Online Access: | Get full text |
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