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  • A divide and conquer approach is one of the methods introduced to get over the scalability problem of the evolutionary circuit design. A complex circuit is decomposed into modules which are evolved separately and without any interaction. The benefits are in reducing the search space and accelerating the evaluation of candidate circuits. In this paper, the evolution of non-interacting modules is replaced by a coevolutionary algorithm, in which the fitness of a module depends on fitness values of other modules, i.e. the modules are adapted to work together. The proposed method is embedded into Cartesian genetic programming (CGP). The coevolutionary approach was evaluated in the design of a switching image filter which was decomposed into the filtering module and detector module. The filters evolved using the proposed coevolutionary method show a higher quality of filtering in comparison with filters utilizing independently evolved modules. Furthermore, the whole design process was accelerate
  • A divide and conquer approach is one of the methods introduced to get over the scalability problem of the evolutionary circuit design. A complex circuit is decomposed into modules which are evolved separately and without any interaction. The benefits are in reducing the search space and accelerating the evaluation of candidate circuits. In this paper, the evolution of non-interacting modules is replaced by a coevolutionary algorithm, in which the fitness of a module depends on fitness values of other modules, i.e. the modules are adapted to work together. The proposed method is embedded into Cartesian genetic programming (CGP). The coevolutionary approach was evaluated in the design of a switching image filter which was decomposed into the filtering module and detector module. The filters evolved using the proposed coevolutionary method show a higher quality of filtering in comparison with filters utilizing independently evolved modules. Furthermore, the whole design process was accelerate (en)
Title
  • Towards Compositional Coevolution in Evolutionary Circuit Design
  • Towards Compositional Coevolution in Evolutionary Circuit Design (en)
skos:prefLabel
  • Towards Compositional Coevolution in Evolutionary Circuit Design
  • Towards Compositional Coevolution in Evolutionary Circuit Design (en)
skos:notation
  • RIV/00216305:26230/14:PU112015!RIV15-MSM-26230___
http://linked.open...avai/riv/aktivita
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  • P(ED1.1.00/02.0070), P(GA14-04197S), S
http://linked.open...vai/riv/dodaniDat
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  • 50813
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/14:PU112015
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  • Compositional coevolution, digital circuit design, cartesian genetic programming, switching filter design. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4CDFC9BE5250]
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  • Orlando
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  • Piscataway
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  • 2014 IEEE International Conference on Evolvable Systems Proceedings
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http://linked.open...iv/tvurceVysledku
  • Sekanina, Lukáš
  • Šikulová, Michaela
  • Komjáthy, Gergely
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICES.2014.7008735
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  • Institute of Electrical and Electronics Engineers
https://schema.org/isbn
  • 978-1-4799-4479-8
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  • 26230
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