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• Polynomial genetic programming for response surface modeling Part 2: adaptive approximate models with probabilistic optimization problems
  Y. S. Yeun and B. J. Kim and Y. S. Yang and W. S. Ruy Structural and Multidisciplinary Optimization29(1):35--49January2005.
  to response surface programming, genetic strategy, reliability-based optimization, method interpolation algorithms, partial polynomial by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolutionary synthesis of digital filter structures using genetic programming
  Kazuyoshi Uesaka and Masayuki Kawamata IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing50(12):977--983December2003.
  to equations, fitness matrices, digital function response subroutines, sensitivity, programming, method, errors, automatically evolutionary algorithms, synthesis filters, fourth-order wordlength transfer roundoff effects, defined measure, matrix IIR global low-coefficient functions, optimization, S-expressions, low-output difference computability, infinite-impulse structures, filter, genetic representation, noise, filter by brazovayeye on Jun 19, 2008, 5:35 PM
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• Identification of response surface models using genetic programming
  T. L. Lew and A. B. Spencer and F. Scarpa and K. Worden and A. Rutherford and F. Hemez Mechanical Systems and Signal Processing20(8):1819--1831November2006.
  to surface programming, Symbolic Surrogate/replacement genetic Response regression algorithms, models, model, by brazovayeye on Jun 19, 2008, 5:35 PM
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