Two Step Evolution Strategy for Device Motif BSIM Model Parameter Extraction

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  title =        "Two Step Evolution Strategy for Device Motif {BSIM}
                 Model Parameter Extraction",
  author =       "Yang Xiao and Martin Trefzer and James Walker and 
                 Simon Bale and Andy Tyrrell",
  pages =        "2877--2884",
  booktitle =    "Proceedings of the 2014 IEEE Congress on Evolutionary
  year =         "2014",
  month =        "6-11 " # jul,
  editor =       "Carlos A. {Coello Coello}",
  address =      "Beijing, China",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, EHW,
                 Evolvable hardware and software",
  DOI =          "doi:10.1109/CEC.2014.6900520",
  abstract =     "The modelling and simulation of semiconductor devices
                 is a difficult and computationally intensive task.
                 However the expense of fabrication and testing means
                 that accurate modelling and simulation are crucial to
                 the continued progress of the industry. To create these
                 models and then perform the simulations requires
                 parameters from accurate physical models to be obtained
                 and then more abstract models created that can perform
                 more complex circuit simulations. Device models
                 (motifs) are created as a mitigation technique for
                 improvement the circuit performance and as technology
                 advances to help with the effects of transistor
                 variability. In order to explore the characteristics of
                 new device motifs on circuit designs, obtaining
                 accurate and reliable device models becomes the first
                 problem for designers. In this paper a Two Step
                 Evolution Strategy (2SES) is proposed for device
                 parameter model extraction. The proposed 2SES approach
                 automatically extracts a set of parameters with respect
                 to a specified device model. Compared with conventional
                 mathematical extraction approach, 2SES is an efficient
                 and accurate method to solve the parameter extraction
                 problem and simultaneously addresses the fact of the
                 mathematical extraction having the complexity of
                 Multi-objective optimisation. Compared with single step
                 ES extract result, it is shown that the two-step ES
                 extraction process continues improving generations by
                 adjusting the optimisation parameters. Finally, an
                 application of a new device motif on circuit design is
                 given at end of the paper and compared against a
                 standard device.",
  notes =        "WCCI2014",

Genetic Programming entries for Yang Xiao Martin A Trefzer James Alfred Walker Simon Bale Andrew M Tyrrell