• DocumentCode
    165930
  • Title

    Design of enhanced arithmetic logical unit for hardware genetic processor

  • Author

    Singh, Harshavardhan

  • Author_Institution
    Sch. of Electron. & Commun., Lovely Prof. Univ., Jalandhar, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    549
  • Lastpage
    553
  • Abstract
    Genetic Algorithm is based on natural evolution. The genetic algorithm is a probabilistic search algorithm that iteratively transforms a set (called a population) of mathematical objects (typically fixed-length binary character strings), each with an associated fitness value, into a new population of offspring objects using the Darwinian principle of natural selection. The research in genetic algorithm mainly concentrates on the software implementation, which is lagging in term of speed. Genetic algorithm, processor consists lots of sub-modules like ALU unit, memory unit and control unit. From all the sub-module, ALU module is responsible of bringing the genetic variation. In this paper, Enhanced ALU unit consisting of Mutation Operator like Flap, Uniform, Virus mutation and Crossover operators like One point, Multi Point, Uniform crossover was designed using VHDL language and was implemented using Spartan 3E FPGA.
  • Keywords
    digital arithmetic; field programmable gate arrays; hardware description languages; logic design; probability; search problems; ALU module; ALU unit; Darwinian natural selection principle; Spartan 3E FPGA; VHDL language; control unit; crossover operators; enhanced arithmetic logical unit design; flap; flap operators; genetic variation; hardware genetic processor; memory unit; multipoint; mutation operator; natural evolution; offspring objects; one point; probabilistic search algorithm; uniform; uniform crossover; uniform operators; virus mutation; Algorithm design and analysis; Biological cells; Field programmable gate arrays; Genetic algorithms; Genetics; Sociology; Statistics; ALU (Arithmetic Logic Unit); Crossover; FPGA(Field Programmable Gate Array); GA (Genetic Algorithm); LED(Light Emmiting Diode); Mutation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968248
  • Filename
    6968248