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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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