Exploring Kriging for Fast and Accurate Design Optimization of Nanoscale Analog Circuits
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6901614/6903314/06903368.pdf?arnumber=6903368
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Performance-driven Wire Sizing for Analog Integrated Circuits;ACM Transactions on Design Automation of Electronic Systems;2022-12-24
2. Automated circuit sizing with multi-objective optimization based on differential evolution and Bayesian inference;Knowledge-Based Systems;2022-12
3. Fast Surrogate-assisted Constrained Multi-objective Optimization for Analog Circuit Sizing via Self-adaptive Incremental Learning;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022
4. Applications of Artificial Intelligence on the Modeling and Optimization for Analog and Mixed-Signal Circuits: A Review;IEEE Transactions on Circuits and Systems I: Regular Papers;2021-06
5. An Efficient Bayesian Optimization Approach for Automated Optimization of Analog Circuits;IEEE Transactions on Circuits and Systems I: Regular Papers;2018-06
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