• DocumentCode
    478516
  • Title

    Automatic Synthesis of Combinational Logic Circuit with Gene Expression-Based Clonal Selection Algorithm

  • Author

    Gan, Zhaohui ; Shang, Tao ; Shi, Gang ; Chen, Chao

  • Author_Institution
    Eng. Res. Center of Metall. Autom. & Meas. Technol., Minist. of Educ., Wuhan
  • Volume
    6
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    278
  • Lastpage
    282
  • Abstract
    Gene expression programming (GEP) is a powerful evolutionary algorithm derived from genetic algorithm and genetic programming. However, when dealing with complex problems, GEP shows quite slow convergence speed, it also probably encounters premature convergence. In this paper, gene expression-based clonal selection algorithm (GE-CSA) was proposed to synthesize combinational logic circuit, which combines the advantages of clonal selection algorithm (CSA) and GEP, overcoming some drawbacks of GEP. The circuit encoding of our proposed method is very simple and efficient. Using this method, circuits reaching design demand is automatically designed. Obtained circuits are quite compact. Two kinds of combinational logic circuit are synthesized to verify the effectiveness of our approach. The experimental results show that our proposed approach can automatically generate combinational logic circuit efficiently and effectively.
  • Keywords
    combinational circuits; genetic algorithms; logic design; clonal selection algorithm; combinational logic circuit; evolutionary algorithm; gene expression programming; genetic algorithm; genetic programming; Circuit synthesis; Combinational circuits; Convergence; Educational technology; Encoding; Evolutionary computation; Gene expression; Genetic algorithms; Genetic programming; Logic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.338
  • Filename
    4667845