FUZYE: A Fuzzy -Means Analog IC Yield Optimization Using Evolutionary-Based Algorithms

• Published in: IEEE transactions on computer-aided design of integrated circuits and systems Vol. 39; no. 1; pp. 1 - 13
• Main Authors: Canelas, Antonio, Povoa, Ricardo, Martins, Ricardo, Lourenco, Nuno, Guilherme, Jorge, Carvalho, Joao Paulo, Horta, Nuno
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Analog circuits; analog IC yield estimation; Analog integrated circuit (IC) synthesis; Analytical models; circuit optimization; Clustering; clustering algorithms; Computer simulation; Evolutionary algorithms; expensive simulations; Genetic algorithms; Integrated circuit modeling; Integrated circuits; Monte Carlo (MC) analysis; Optimization; Population; Simulation; Sociology; Statistics; Yield estimation
• ISSN: 0278-0070; 1937-4151
• DOI: 10.1109/TCAD.2018.2883978

This paper presents fuzzy c-means-based yield estimation (FUZYE), a methodology that reduces the time impact caused by Monte Carlo (MC) simulations in the context of analog integrated circuits (ICs) yield estimation, enabling it for yield optimization with population-based algorithms, e.g., the gene...