Simultaneous Multi-Topology Multi-Objective Sizing Across Thousands of Analog Circuit Topologies

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{McConaghy:2007:DAC,
  author =       "Trent McConaghy and Pieter Palmers and 
                 Georges Gielen and Michiel Steyaert",
  title =        "Simultaneous Multi-Topology Multi-Objective Sizing
                 Across Thousands of Analog Circuit Topologies",
  booktitle =    "44th ACM/IEEE Conference on Design Automation, DAC
                 '07",
  year =         "2007",
  pages =        "944--947",
  address =      "San Diego, CA, USA",
  month =        "4-8 " # jun,
  keywords =     "genetic algorithms, genetic programming, EHW, analogue
                 circuits, network topology, MOJITO, analog circuit
                 topologies, two-stage operational amplifier topologies,
                 Algorithm design and analysis, Analog circuits, Analog
                 integrated circuits, Circuit topology, Evolutionary
                 computation, Merging, Operational amplifiers,
                 Permission, Switches, System-level design, Algorithms,
                 Analog, Design, computer-aided design, integrated
                 circuits, mixed-signal",
  isbn13 =       "978-1-59593-627-1",
  URL =          "http://trent.st/content/2007-DAC-mojito.pdf",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4261319",
  size =         "4 pages",
  abstract =     "This paper presents MOJITO, a system which optimises
                 across thousands of analog circuit topologies
                 simultaneously, and returns a set of sized topologies
                 that collectively provide a performance tradeoff.
                 MOJITO defines a space of possible topologies as a
                 hierarchically organised combination of trusted analog
                 building blocks. To minimise the setup burden: no
                 topology selection rules or abstract behaviours need to
                 be specified, and performance calculations are
                 SPICE-based. The search algorithm is a novel
                 multi-objective evolutionary algorithm that uses an
                 age-layered population structure to balance exploration
                 vs. exploitation. Results are shown for a space having
                 3528 one- and two-stage operational amplifier
                 topologies.",
  notes =        "50.4 Also known as \cite{4261319}",
}

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

Citations