A four‐stage yield optimization technique for analog integrated circuits using optimal computing budget allocation and evolutionary algorithms

A four‐stage yield optimization technique for analog integrated circuits using optimal computing budget allocation and evolutionary algorithms

Abstract A high yield estimation is necessary for designing analogue integrated circuits. In the Monte‐Carlo (MC) method, many transistor‐level simulations should be performed to obtain the desired result. Therefore, some methods are needed to be combined with MC simulations to reach high yield with...

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Bibliographic Details
Main Authors: Abbas Yaseri, Mohammad Hossein Maghami, Mehdi Radmehr
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:IET Computers & Digital Techniques
Subjects:
critical analysis
evolutionary algorithm
Monte Carlo simulations
speed up yield
yield optimisation
Online Access:https://doi.org/10.1049/cdt2.12048
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https://doi.org/10.1049/cdt2.12048

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