A projection-based decomposition in EHW method for design of relatively large circuits

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@InProceedings{Tao:2014:GECCOcomp,
  author =       "Yanyun Tao and Yuzhen Zhang and Lijun Zhang and 
                 Chao Gu",
  title =        "A projection-based decomposition in EHW method for
                 design of relatively large circuits",
  booktitle =    "GECCO Comp '14: Proceedings of the 2014 conference
                 companion on Genetic and evolutionary computation
                 companion",
  year =         "2014",
  editor =       "Christian Igel and Dirk V. Arnold and 
                 Christian Gagne and Elena Popovici and Anne Auger and 
                 Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and 
                 Kalyanmoy Deb and Benjamin Doerr and James Foster and 
                 Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and 
                 Hitoshi Iba and Christian Jacob and Thomas Jansen and 
                 Yaochu Jin and Marouane Kessentini and 
                 Joshua D. Knowles and William B. Langdon and Pedro Larranaga and 
                 Sean Luke and Gabriel Luque and John A. W. McCall and 
                 Marco A. {Montes de Oca} and Alison Motsinger-Reif and 
                 Yew Soon Ong and Michael Palmer and 
                 Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and 
                 Guenther Ruhe and Tom Schaul and Thomas Schmickl and 
                 Bernhard Sendhoff and Kenneth O. Stanley and 
                 Thomas Stuetzle and Dirk Thierens and Julian Togelius and 
                 Carsten Witt and Christine Zarges",
  isbn13 =       "978-1-4503-2881-4",
  keywords =     "genetic algorithms, genetic programming: Poster",
  pages =        "153--154",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "http://doi.acm.org/10.1145/2598394.2598411",
  DOI =          "doi:10.1145/2598394.2598411",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Scalability is the most important issue and not
                 well-addressed in EHW field by far. To solve
                 scalability, this paper proposes a novel EHW system
                 called PD-ES, which integrates a Projection-based
                 Decomposition (PD) and Evolutionary Strategy (ES). PD
                 gradually decomposes a Boolean function by adaptively
                 projecting it onto the property of variables, which
                 makes the complexity and number of sub logic blocks
                 minimised. The gate-level approach-CGP including ES
                 searches complete solutions for these blocks. By
                 employing PD into EHW system, the number of logic gates
                 used for evolving and assembling the sub blocks
                 decreases largely, and the scalability can be improved
                 consequently. The MCNC circuits and n-parity circuits
                 are used to prove the ability of PD-ES in solving
                 scalability. The results illustrate that PD-ES is
                 superior to 3SD-ES and fixed decomposition in evolving
                 large circuits in terms of complexity reduction.
                 Additionally, PD-ES makes success evolution in design
                 of larger n-even-parity circuits as SDR has done.",
  notes =        "Also known as \cite{2598411} Distributed at
                 GECCO-2014.",
}

Genetic Programming entries for Yanyun Tao Yuzhen Zhang Lijun Zhang Chao Gu

Citations