The Dynamic Evaluation Strategy for Evolvable Hardware

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@InProceedings{Wang:2015:icfcst,
  author =       "Jie Wang and Jiwei Liu and Bin Feng and Gang Hou",
  booktitle =    "2015 Ninth International Conference on Frontier of
                 Computer Science and Technology",
  title =        "The Dynamic Evaluation Strategy for Evolvable
                 Hardware",
  year =         "2015",
  pages =        "91--95",
  abstract =     "Evolvable hardware (EHW) has recently become a highly
                 attractive topic for the Fault-tolerant System design
                 because it offers a way of adapting hardware to
                 different environments. However, it is time-consuming
                 when circuits become complex. According to our
                 research, the most time consuming period in genetic
                 algorithm (GA) is the fitness evaluation. To reduce the
                 time, a new method based on fitness evaluation
                 expansion GA is proposed. The fitness evaluation is
                 divided into two stages by a threshold. When the
                 generation is lower than the threshold, a fitness
                 estimate strategy is introduced to estimate the
                 offspring's fitness. When really evolving the fitness,
                 a self-adaptive random sampling model is applied to
                 select the output node from the Cartesian Genetic
                 Programming (CGP) array. During the evolution process,
                 the random sampling probability can be adjusted
                 dynamically with the concentration degree of
                 individuals, which can short the evaluation time and
                 accelerate the convergence. Experiments show that this
                 method can obtain about 5 times speedup while getting
                 an ideal circuit.",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, EHW",
  DOI =          "doi:10.1109/FCST.2015.35",
  ISSN =         "2159-6301",
  month =        aug,
  notes =        "Sch. of Software Technol., Dalian Univ. of Technol.,
                 Dalian, China

                 Also known as \cite{7314656}",
}

Genetic Programming entries for Jie Wang Jiwei Liu Bin Feng Gang Hou

Citations