• DocumentCode
    3580623
  • Title

    An Efficient Approach to VLSI Circuit Partitioning Using Evolutionary Algorithms

  • Author

    Sangwan, Dhiraj ; Verma, Seema ; Kumar, Rajesh

  • Author_Institution
    CEERI, Pilani, India
  • fYear
    2014
  • Firstpage
    925
  • Lastpage
    929
  • Abstract
    Circuit Partitioning generally formulated as graph partitioning problem is an important step in physical design of circuits. The use of Evolutionary techniques is increasingly used to solve NP complete problems i.e. Applications for logic minimization and simulation heuristics. This paper explores the evolutionary approach of genetic algorithm and propose a hybrid technique involving the strengths of the existing techniques resulting in a better partitioning and placement of circuits. It can further be extended to the Hardware/Software boundary of algorithms and can be applied to real world physical design problems.
  • Keywords
    VLSI; circuit optimisation; computational complexity; genetic algorithms; integrated circuit design; NP complete problems; VLSI circuit partitioning; evolutionary algorithms; genetic algorithm; graph partitioning problem; hardware-software boundary; logic minimization; physical circuit design; simulation heuristics; Algorithm design and analysis; Genetic algorithms; Optimization; Partitioning algorithms; Sociology; Statistics; Very large scale integration; Algorithm; Circuit Partitioning; Evolutionary Algorithm; Fiduccia Mattheyses Algorithm; Kernighan Lin; VLSI; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.195
  • Filename
    7065615