Design and implementation of a virtual reconfigurable architecture for different applications of intrinsic evolvable hardware

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@Article{Wang:2008:IETcdt,

• author = "Jin Wang and Qiao Song Chen and Chong Ho Lee",
• title = "Design and implementation of a virtual reconfigurable architecture for different applications of intrinsic evolvable hardware",
• journal = "IET Computers Digital Techniques",
• year = "2008",
• month = sep,
• volume = "2",
• number = "5",
• pages = "386--400",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, Celoxica RC1000 peripheral component interconnect, Xilinx Virtex xcv2000E FPGA, character recogniser, field programmable gate arrays, fitness value calculation unit, function element network, function level evolution, gate level evolution, intrinsic evolvable hardware, phenotype representation, virtual reconfigurable architecture, field programmable gate arrays, peripheral interfaces, reconfigurable architectures",
• DOI = "doi:10.1049/iet-cdt:20070124",
• ISSN = "1751-8601",
• abstract = "The authors present a novel virtual reconfigurable architecture (VRA) for realising real-world applications of intrinsic evolvable hardware (EHW) on field programmable gate arrays (FPGAs). The phenotype representation of the proposed evolvable system is based on a two-dimensional function element (FE) network. Compared with the traditional Cartesian genetic programming, the proposed approach includes more connection restrictions in the FE network to reduce genotype length. Another innovative feature of the VRA is that the whole evolvable system, which consists of an evolutionary algorithm unit, a fitness value calculation unit and an FE array unit, can be realised on a single FPGA. On this work, a custom Xilinx Virtex xcv2000E FPGA, which is fitted in the Celoxica RC1000 peripheral component interconnect (PCI) board is used as the hardware platform. The main motive of the research is to design a general, flexible evolvable system with powerful computation ability to achieve intrinsic evolution. As examples, the proposed evolvable system is devoted to evolve two real-world applications: a character recogniser and an image operator by using gate level evolution and function level evolution, respectively. The experimental results show that the VRA can bring higher computational ability and more flexibility than traditional approach to intrinsic EHW.",
• notes = "Also known as \cite{4609375}",

}

Genetic Programming entries for Jin Wang Qiao Song Chen Chong Ho Lee

Citations