Variation-Aware Structural Synthesis of Analog Circuits via Hierarchical Building Blocks and Structural Homotopy

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Trent McConaghy and Pieter Palmers and 
                 Michiel Steyaert and Georges G. E. Gielen",
  title =        "Variation-Aware Structural Synthesis of Analog
                 Circuits via Hierarchical Building Blocks and
                 Structural Homotopy",
  journal =      "IEEE Transactions on Computer-Aided Design of
                 Integrated Circuits and Systems",
  year =         "2009",
  volume =       "28",
  number =       "9",
  pages =        "1281--1294",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, Pareto
                 optimisation, analogue circuits, MOJITO-R,
                 Pareto-optimal designs, analog circuits, decision tree,
                 hierarchical building blocks, objective-function
                 tightening levels, performance-topology relationship,
                 structural homotopy, variation-aware structural
                 synthesis, Analog, design automation, integrated
                 circuit, multiobjective optimisation, process
  ISSN =         "0278-0070",
  URL =          "",
  DOI =          "doi:10.1109/TCAD.2009.2023195",
  size =         "14 pages",
  abstract =     "This paper presents MOJITO-R, a tool that performs
                 variation-aware structural synthesis of analog
                 circuits. It returns trustworthy topologies by
                 searching across a space of thousands of possible
                 topologies defined by hierarchically organised analog
                 structural building blocks. Structural homotopy
                 conducts search at several objective-function
                 tightening levels (numbers of process corners)
                 simultaneously. Multiobjective evolutionary search
                 returns sized topologies which trade off power, area,
                 performances, and yield. An experimental validation run
                 returned 78643 Pareto-optimal designs, having 982 sized
                 topologies with various specification/yield
                 combinations. A decision tree is extracted to visualise
                 the performance-topology relationship.",
  notes =        "Also known as \cite{5208483}",

Genetic Programming entries for Trent McConaghy Pieter Palmers Michiel Steyaert Georges G E Gielen