• DocumentCode
    120751
  • Title

    Evolvable hardware using cluster growth along with evolution strategy

  • Author

    SRIVASTAVA, ANURAG K. ; Sharma, Ekanki

  • Author_Institution
    Dept. of Electron. & Commun., JIIT, Noida, India
  • fYear
    2014
  • fDate
    21-22 Feb. 2014
  • Firstpage
    802
  • Lastpage
    806
  • Abstract
    In this paper, we are discussing about cluster growth along with evolution strategy for evolvable hardware. In today´s world, need of optimization of circuits based on certain constraints is increasing as th e number gates on an IC (Integrated Circuits) is increasing. Some of these constraints are feasibility of circuit, cost, delay, power, area of the chip etc. So for this purpose we need to find such efficient optimization techniques that can be implemented using software programming to obtain the hardware circuit.
  • Keywords
    electronic engineering computing; evolutionary computation; integrated circuits; programming; IC; chip area; chip cost; chip delay; chip power; circuit feasibility; cluster growth; evolution strategy; evolvable hardware; hardware circuit; integrated circuits; software programming; Biological cells; Clustering algorithms; Hardware; Logic gates; Optimization; Sociology; Statistics; Cluster Growth; Evolution Strategy; Evolvable Hardware; Genetic Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2014 IEEE International
  • Conference_Location
    Gurgaon
  • Print_ISBN
    978-1-4799-2571-1
  • Type

    conf

  • DOI
    10.1109/IAdCC.2014.6779426
  • Filename
    6779426