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(10)   

• Solving differential equations with genetic programming
  I. G. Tsoulos and I. E. Lagaris Genetic Programming and Evolvable Machines7(1):33--54March2006.
  to evolution, Differential equations, Evolutionary programming, Grammatical genetic modelling algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Effective Fitness as an Alternative Paradigm for Evolutionary Computation II: Examples and Applications
  C. R. Stephens and J. Mora Vargas Genetic Programming and Evolvable Machines2(1):7--32March2001.
  to equations, fitness landscape, effective evolution genotype-phenotype genetic fitness, induced algorithms, symmetry breaking map, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Effective Fitness as an Alternative Paradigm for Evolutionary Computation I: General Formalism
  C. R. Stephens and J. Mora Vargas Genetic Programming and Evolvable Machines1(4):363--378October2000.
  to equations, fitness landscape, effective evolution genotype-phenotype genetic fitness, induced algorithms, symmetry breaking map, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 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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• Declarative and Preferential Bias in GP-based Scientific Discovery
  Maarten Keijzer and Vladan Babovic Genetic Programming and Evolvable Machines3(1):41--79March2002.
  to equations, hydraulics programming, strong regression, genetic symbolic typing, coercion algorithms, empirical by brazovayeye on Jun 19, 2008, 5:35 PM
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• Genetic Programming solution of the convection-diffusion equation
  Daniel Howard and Simon C. Roberts Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page34--41. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001.
  to equations, WRM, programming, genetic differential numerical method convection-diffusion, algorithms, FEM, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolution of Mesh Refinement Rules for Impact Dynamics
  Daniel Howard and Simon C. Roberts Proceedings of the 2000 Congress on Evolutionary Computation CEC00, page1297--1303. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, 6-9 July2000.
  to evolution, computing, equations, i,mpact refinement engineering densities, ball, impact learning, metal differential rule evolutionary mechanical applications algorithms, mesh computation, Programming, impact, speed adaptive (mechanical), plate (artificial learning partial spherical material intelligence), cells, refinement, genetic high dynamics, novel by brazovayeye on Jun 19, 2008, 5:35 PM
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• Nonlinear model structure identification using genetic programming
  Gary J. Gray and David J. Murray-Smith and Yun Li and Ken C. Sharman and Thomas Weinbrenner Control Engineering Practice6(11):1341--1352(1998)
  to equations, Nonlinear control, analysis systems), Water Helicopter Control Differential programming, rotors, tanks, simulation, (control algorithms, helicopter control analysis, Computer Identification Error Mathematical system Speed genetic identification, systems, dynamics, models, nonlinear by brazovayeye on Jun 19, 2008, 5:35 PM
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• Genetic programming and its applications to the synthesis of digital logic
  Karen M. Dill and James H. Herzog and Marek A. Perkowski Communications, Computers and Signal Processing, PACRIM 1997, 2, page823--826. Victoria, BC, Canada, 20-22 August1997.
  to arbitrary synthesis, equations, coverage, test set applicability, recognition gates, digital randomly function training results, designed programming, size, complete CAD, algorithms, expressions, population experimental functions, optimization problem sets, logic sizes, input genetic variables, circuits, criterion, small by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming
  Hongqing Cao and Lishan Kang and Yuping Chen and Jingxian Yu Genetic Programming and Evolvable Machines1(4):309--337October2000.
  to ordinary of modeling, equations, system higher-order programming, equation genetic differential evolutionary algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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