Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Sekanina:2012:CEC,
  title =        "Two-Step Evolution of Polymorphic Circuits for Image
                 Multi-Filtering",
  author =       "Lukas Sekanina and Vojtech Salajka and 
                 Zdenek Vasicek",
  pages =        "1481--1488",
  booktitle =    "Proceedings of the 2012 IEEE Congress on Evolutionary
                 Computation",
  year =         "2012",
  editor =       "Xiaodong Li",
  month =        "10-15 " # jun,
  DOI =          "doi:10.1109/CEC.2012.6256164",
  address =      "Brisbane, Australia",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Hardware
                 Aspects of Bio-Inspired Architectures and Systems,
                 Evolutionary Computer Vision, Evolvable hardware and
                 software",
  abstract =     "This paper proposes to implement multifunctional image
                 filters using multifunctional gates such as polymorphic
                 gates or multiplexed ordinary gates. The design
                 procedure is based on evolutionary design and
                 optimization conducted using Cartesian genetic
                 programming (CGP). Because of the complexity of the
                 problem the design is decomposed to two phases. In the
                 first step, a multifunctional filter is evolved at the
                 register-transfer level (RTL) using a set of processing
                 elements containing functions such as minimum/maximum,
                 minimum/average etc. over two pixels. In the second
                 step, gate-level implementations of the processing
                 elements used in evolved filters are designed and
                 optimised using CGP in combination with conventional
                 logic synthesis tools. It is shown that resulting
                 filters exhibit good filtering capabilities. They are
                 also area-efficient in comparison with solutions based
                 on multiplexing of ordinary filters.",
  notes =        "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the
                 EPS and the IET.",
}

Genetic Programming entries for Lukas Sekanina Vojtech Salajka Zdenek Vasicek

Citations