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(11)   

• The Evolution of Stochastic Regular Motifs for Protein Sequences
  Brian J. Ross New Generation Computing20(2):187--213February2002.
  to protein, Evolutionary Programming, Regular regular Grammatical Motifs, Expressions, motif, stochastic Genetic Computation programming, genetic algorithms, Stochastic expressions, Protein by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• The Evaluation of a Stochastic Regular Motif Language for Protein Sequences
  Brian J. Ross Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page120--128. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001.
  to programming, regular genetic motif, grammatical algorithms, stochastic expressions, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities
  Brian J. Ross 6th IASTED International Conference, Artificial Intelligence and Soft Computing, ASC 2002, The Banff Centre for Conferences, Box 1020, 107 Tunnel Mountain Drive, Banff, Alberta, T0L 0C0, Canada, 17-19 July2002.
  to programming, regular protein genetic algorithms, stochastic expressions, motif by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolving Perl code for protein secondary structure prediction
  Robert M. MacCallum Stockholm Bioinformatics Center, Stockholm University, (2002)
  to scan, programming, regular genetic typing grammar, algorithms, strict expressions, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Using Data Structures within Genetic Programming
  W. B. Langdon Genetic Programming 1996: Proceedings of the First Annual Conference, page141--148. Stanford University, CA, USA, MIT Press, 28--31 July1996.
  to Evolution, brackets, CFG, matched (ADF), Stack, Pareto Push Structures, Data free programming, Defined algorithms, Object Learning, Programming, Machine Expressions, automatic Demes code Automatic grammar Functions Oriented genetic Artificial Polish Reverse fitness, context Automatically Dyck language down language, generation, induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Using Data Structures within Genetic Programming
  W. B. Langdon Research Note, RN/96/1. UCL, Gower Street, London, WC1E 6BT, UK, January1996.
  to Evolution, (ADF), Stack, Pareto Push Structures, Data free programming, Defined algorithms, Object Learning, Programming, Machine Expressions, automatic Demes Automatic code Functions Oriented genetic Artificial Polish Reverse fitness, context Automatically language down generation, induction, by brazovayeye and 1 other person 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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• Method for the identification of explicit polynomial formulae for the friction in turbulent pipe flow
  J. W. Davidson and D. A. Savic and G. A. Walters Journal of Hydroinformatics1(2):115--126(1999)
  to programming, least genetic squares, algebra, symbolic regression algorithms, expressions, polynomial by brazovayeye on Jun 19, 2008, 5:35 PM
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• Symbolic and numerical regression: a hybrid technique for polynomial approximators
  J. W. Davidson and D. A. Savic and G. A. Walters Proceedings of Recent Advances in Soft Computing'99, page111--116. De Montfort University, Leicester, UK, Physica Verlag, 1-2 July1999.
  to programming, least genetic squares, algebra, symbolic regression algorithms, expressions, polynomial by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolving Computer Programs without Subtree Crossover
  Kumar Chellapilla IEEE Transactions on Evolutionary Computation1(3):209--216September1997.
  to Programming, Evolutionary programming genetic variation symbolic operators algorithms, expressions, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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