• DocumentCode
    1254315
  • Title

    Generic systolic array for genetic algorithms

  • Author

    Megson, G.M. ; Bland, I.M.

  • Author_Institution
    Dept. of Comput. Sci., Reading Univ., UK
  • Volume
    144
  • Issue
    2
  • fYear
    1997
  • fDate
    3/1/1997 12:00:00 AM
  • Firstpage
    107
  • Lastpage
    119
  • Abstract
    The authors present a systolic design for a simple GA mechanism which provides high throughput and unidirectional pipelining by exploiting the inherent parallelism in the genetic operators. The design computes in O(N+G) time steps using O(N2) cells where N is the population size and G is the chromosome length. The area of the device is independent of the chromosome length and so can be easily scaled by replicating the arrays or by employing fine-grain migration. The array is generic in the sense that it does not rely on the fitness function and can be used as an accelerator for any GA application using uniform crossover between pairs of chromosomes. The design can also be used in hybrid systems as an add-on to complement existing designs and methods for fitness function acceleration and island-style population management
  • Keywords
    encoding; genetic algorithms; logic design; systolic arrays; chromosome length; fitness function; generic systolic array; genetic algorithms; hybrid systems; inherent parallelism; island-style population management; systolic design; unidirectional pipelining;
  • fLanguage
    English
  • Journal_Title
    Computers and Digital Techniques, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2387
  • Type

    jour

  • DOI
    10.1049/ip-cdt:19971126
  • Filename
    591786