• DocumentCode
    1589693
  • Title

    Design of sequential logic circuits based on Evolvable Hardware

  • Author

    Zhiwu, Zhang ; Jian´an, Lou ; Xinfeng, Cui ; Liming, Zou

  • Author_Institution
    Dept. of Electr. Eng., Ordnance Eng. Coll., Shijiazhuang, China
  • Volume
    3
  • fYear
    2011
  • Firstpage
    240
  • Lastpage
    243
  • Abstract
    The advantage of Evolvable Hardware over the traditional circuit design approach is its capacity for dynamic and autonomous adaptation. EHW can reconfigure its structure according to changes in the task requirement or the environment in which the EHW is embedded. Focuses on the application of extrinsic evolution and their used for the design of small sequential circuits. At the foundation of evolvable hardware, a full-connected feed-forward circuit network model was constructed which is based on the character of sequential circuits. This model is imitating the structure of artificial neural network. It firstly using D flip-latch and logic gate as the basic element, and the one-to-one mapping existed in the mathematical encoding, circuit topology, and HDL file was established. Then, the method to obtain HDL file according to circuit encoding was designed, the circuit evaluation process was automated by using of batch processing technology. Designed the mutation rate dynamic adjust function to improve the performance of (1+λ)-ES. Experiment results of two types of Finite State Machine proved the feasibility and validity of the circuit evolution method.
  • Keywords
    finite state machines; logic gates; network synthesis; neural nets; sequential circuits; D flip-latch; artificial neural network; autonomous adaptation; batch processing technology; circuit evaluation process; circuit topology; dynamic adaptation; evolvable hardware; finite state machine; full-connected feed-forward circuit network model; logic gate; one-to-one mapping; sequential logic circuits; Encoding; Evolution (biology); Hardware; Integrated circuit modeling; Logic gates; Sequential circuits; Software; evolutionary algorithms; evolvable hardware; neural network; sequential circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8158-3
  • Type

    conf

  • DOI
    10.1109/ICEMI.2011.6037897
  • Filename
    6037897