All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Gate-Level Optimization of Polymorphic Circuits Using Cartesian Genetic Programming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APU82613" target="_blank" >RIV/00216305:26230/09:PU82613 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Gate-Level Optimization of Polymorphic Circuits Using Cartesian Genetic Programming

  • Original language description

    Polymorphic digital circuits contain ordinary and polymorphic gates. In the past, Cartesian Genetic Programming (CGP) has been applied to synthesize polymorphic circuits at the gate level. However, this approach is not scalable. Experimental results presented in this paper indicate that larger and more efficient polymorphic circuits can be designed by a combination of conventional design methods&nbsp;and evolutionary optimization (conducted by CGP). Proposed methods are evaluated on two benchmark circuits of variable input size.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F06%2F0599" target="_blank" >GA102/06/0599: Methods of polymorphic digital circuit design</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proc. of 2009 IEEE Congress on Evolutionary Computation

  • ISBN

    978-1-4244-2958-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE Computational Intelligence Society

  • Place of publication

    NA

  • Event location

    Trondheim

  • Event date

    May 18, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article