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publications

(32)   

• Improving Predictability of Simulation Models using Evolutionary Computation-Based Methods for Model Error Correction
  Emily Michelle Zechman Civil Engineering, North Carolina State University, Raleigh, USA, (2005)
  to water resources model error non-uniquness, correction, calibration parameter programming, genetic alternatives evolutionary algorithms, management, generation, computation, estimation, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Genetic Programming meets Model-Driven Development
  Thomas Weise and Michael Zapf and Mohammad Ullah Khan and Kurt Geihs 7th International Conference on Hybrid Intelligent Systems, HIS 2007, page332--335. Kaiserslautern, Germany, IEEE, 17-19 September2007.
  to Architecture, MOF-Skript, UML, Model Algorithms MDD, MDA, programming, Distributed genetic Development, XMI, algorithms, Driven GP, by brazovayeye and 2 other people on Jun 19, 2008, 5:46 PM
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• Genetic Programming meets Model-Driven Development
  Thomas Weise and Michael Zapf and Mohammad Ullah Khan and Kurt Geihs Kasseler Informatikschriften (KIS), 2007, 2. University of Kassel, University of Kassel, FB-16, Distributed Systems Group, Wilhelmshöher Allee 73, 34121 Kassel, Germany, July~2,2007.
  to Architecture, MOF-Skript, UML, Model Algorithms MDD, MDA, programming, Distributed genetic Development, XMI, algorithms, Driven GP, by brazovayeye and 2 other people on Jun 19, 2008, 5:46 PM
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• Scalable architecture for parallel distributed implementation of genetic programming on network of workstations
  Ivan Tanev and Takashi Uozumi and Koichi Ono Journal of Systems Architecture47(7):557--572July2001.
  to model parallelism, object Island of Distributed programming, workstations Network component genetic algorithms, model, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Probabilistic Model Building and Competent Genetic Programming
  Kumara Sastry and David E. Goldberg Genetic Programming Theory and Practise, chapter 13, Kluwer, (2003)
  to model program, Linkage Competent building, learning, algorithm compact programming, Probabilistic genetic Extended adaptation, algorithms, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Model selection methodology in supervised learning with evolutionary computation
  J. J. Rowland Biosystems72(1-2):187--196November2003.
  to Model Gene programming, expression, Generalization, genetic selection, algorithms, Validation by brazovayeye on Jun 19, 2008, 5:46 PM
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• Sporadic model building for efficiency enhancement of the hierarchical BOA
  Martin Pelikan and Kumara Sastry and David E. Goldberg Genetic Programming and Evolvable Machines9(1):53--84March2008.
  to Bayesian model HBOA, building BOA, algorithm, Sporadic Hierarchical Estimation distribution of Efficiency genetic algorithms, enhancement, optimisation by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Balancing Accuracy and Parsimony in Genetic Programming
  Byoung-Tak Zhang and Heinz Mühlenbein Evolutionary Computation3(1):17--38(1995)
  to Bayesian networks. model Machine principle, neural learning, comparison, Evolving programming, Tree description genetic Minimum length algorithms, induction, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolutionary computation-based approach for model error correction and calibration
  Emily M. Zechman and S. Ranji Ranjithan Advances in Water Resources30(5):1360--1370May2007.
  to Evolutionary Model programming, error genetic correction algorithms, Calibration, computation, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Probabilistic distribution models for EDA-based GP
  Kohsuke Yanai and Hitoshi Iba GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page1775--1776. Washington DC, USA, ACM Press, 25-29 June2005.
  to evolution, Poster, computing, model building algorithm, estimation PIPE, building, distribution of programming, program genetic evolutionary algorithms, XEDP probabilistic by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Online modelling based on Genetic Programming
  Stephan Winkler and Hajrudin Efendic and Luigi Del Re and Michael Affenzeller and Stefan Wagner International Journal of Intelligent Systems Technologies and Applications2(2/3):255--27019 February2007.
  to model modelling, diagnosis, automatic data fault machine learning, online self-adaption, real time programming, driven genetic identification, algorithms, GP, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Dynamical model reconstruction and accurate prediction of power-pool time series
  Vinay Varadan and Henry Leung and Eloi Bosse IEEE Transactions on Instrumentation and Measurement55(1):327--336February2006.
  to series, predictor, correlation-dimension basis demand, Chaos, Lyapunov least neural Lyapunov-spectrum, function methods, time low-dimensional squares dimension, power Lyapunov-dimension (RBF) embedding attractor-dimension, GP, demand analysis, dynamical system, and prediction, price price, nonlinearity power-pool estimates, delay systems, dynamics, chaos, fractal-dimension series model embedding, approximations, net state-space radial fractals, programming, algorithms, theory, time-series markets, calculation, prediction chaotic network, stationarity exponents, genetic tests, local fractal reconstruction, estimation, nonlinear by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolving Programs and Solutions Using Genetic Programming with Application to Learning and Adaptive Control
  Kuan Luen Ng and Rolf Johansson Journal of Intelligent and Robotic Systems35(3):289--307November2002.
  to systems model programming, control, adaptive genetic Lyapunov functions, learning algorithms, systems, reference by brazovayeye on Jun 19, 2008, 5:35 PM
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• Differential evolution - an easy and efficient evolutionary algorithm for model optimisation
  D. G. Mayer and B. P. Kinghorn and A. A. Archer Agricultural Systems83(3):315--328March2005.
  to evolution, Differential model programming, Beef genetic FORTRAN, algorithms, Optimisation, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Learning inexpensive parametric design models using an augmented genetic programming technique
  Peter C. Matthews and David W. F. Standingford and Carren M. E. Holden and Ken M. Wallace Artificial Intelligence for Engineering Design, Analysis and Manufacturing(2006)
  to Model Elicitation, Induction, demes Knowledge Design Metamodels SVM, Data GP-HEM, Mining, programming, genetic algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Genetically evolved models and normality of their fitted residuals
  M. A. Kaboudan Journal of Economic Dynamics and Control25(11):1719--17491 November2001.
  to Model programming, genetic evaluation, Canadian lynx data algorithms, Sunspot numbers, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• The Genetic Kernel Support Vector Machine: Description and Evaluation
  Tom Howley and Michael G. Madden Artificial Intelligence Review24(3-4):379--395(2005)
  to model support Mercer Kernel, machine classification, SVM, programming, genetic vector Kernel selection, algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Automatic rainfall recharge model induction by evolutionary computational intelligence
  Yoon-Seok Timothy Hong and Paul A. White and David M. Scott Water Resources Research(2005)
  to model computational logic, moisture Estimation Canterbury 0555 balance Neural intelligence, 1805 programming, Hydrology: fuzzy Computational evolutionary algorithms, forecasting; learning; 1847 1829 Modelling Zealand, rainfall automatic New networks, machine and Plains, recharge Geophysics: genetic Groundwater 1816 model, soil induction, hydrology; by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolutionary self-organising modelling of a municipal wastewater treatment plant
  Yoon-Seok Hong and Rao Bhamidimarri Water Research37(6):1199--1212(2003)
  to evolution, wastewater Model modelling, plant, Municipal treatment ASM2 network, Self-organising Neural programming, genetic algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Ecological Model Selection via Evolutionary Computation and Information Theory
  James P. Hoffmann and Christopher D. Ellingwood and Osei M. Bonsu and Daniel E. Bentil Genetic Programming and Evolvable Machines5(2):229--241June2004.
  to model programming, representation parsimony, genetic fitness, selection, algorithms, complexity-based variable-length by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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