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(11)   

• System Identification Using Evolutionary Markov Chain Monte Carlo
  Byoung-Tak Zhang and Dong-Yeon Cho Journal of Systems Architecture47(7):587--599July2001.
  to Monte Carlo chain identification, System Markov by brazovayeye on Jun 19, 2008, 5:46 PM
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• Markov Chain Models for GP and Variable-length GAs with Homologous Crossover
  Riccardo Poli and Jonathan E. Rowe and Nicholas Freitag McPhee Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page112--119. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001.
  to Markov schema programming, chain matrices crossover, genetic mixing algorithms, models, variable-length homologous theory, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover
  Riccardo Poli and Nicholas Freitag McPhee and Jonathan E. Rowe Genetic Programming and Evolvable Machines5(1):31--70March2004.
  to schema programming, matrices mixing genetic chain, algorithms, Vose variable-length model, theory, Markov by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Quotients of Markov chains and asymptotic properties of the stationary distribution of the Markov chain associated to an evolutionary algorithm
  Boris Mitavskiy and Jonathan E. Rowe and Alden Wright and Lothar M. Schmitt Genetic Programming and Evolvable Machines9(2):109--123June2008. Special Issue on Theoretical foundations of evolutionary computation .
  to population, Quotient, Stationary Evolutionary pressure algorithm, Uniform distribution, Markov graining, Coarse Asymptotics, genetic rate, algorithms, chain, Mutation Selection by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Some Results about the Markov Chains Associated to GPs and to General EAs
  Boris Mitavskiy and Jon Rowe Theoretical Computer Science361(1):72--11028 August2006.
  to Stationary Evolutionary Fitness-proportional Geiringer Mutation, Crossover, distribution, selection Markov programming, genetic algorithms, chain, theorem, by brazovayeye on Jun 19, 2008, 5:35 PM
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• An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms
  Boris Mitavskiy and Jonathan Rowe Evolutionary Computation14(1):87--118Spring2006.
  to group, a Geiringer mutation random schemata, distribution, Markov stationary programming, crossover, genetic process, on algorithms, walk theorem, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Convergence Rates for the Distribution of Program Outputs
  W. B. Langdon GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page812--819. New York, Morgan Kaufmann Publishers, 9-13 July2002.
  to Fitness computer Landscapes, analysis, Minorization, Markov eigenvalues, time, programming, genetic Variation convergence Average algorithms, Random walk Mutation Distance, Total by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Augmented interactive evolutionary computation for composition
  Motoki Kamitani and Tadashi Ae International Journal of Technology, Policy and Management4(4):337--352March~282005. Special Issue on Developments in Decision Technologies .
  to music composition, prediction partial Markov sequences. programming, agent, interactive sequence genetic hidden evolutionary algorithms, model, generation, computation, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Computational learning techniques for intraday FX trading using popular technical indicators
  M. A. H. Dempster and Tom W. Payne and Yazann Romahi and G. W. P. Thompson IEEE Transactions on Neural Networks12(4):744--754July2001.
  to decision, computational transaction (artificial technical learning processes, costs learning, Markov heuristic, intelligence), trading, programming, genetic algorithms, foreign reinforcement exchange by brazovayeye on Jun 19, 2008, 5:35 PM
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• Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity
  Martin V. Butz and David E. Goldberg and Pier Luca Lanzi and Kumara Sastry Genetic Programming and Evolvable Machines8(1):5--37March2007.
  to Niching, sustenance, Learning analysis, Markov LCS, XCS, chain genetic classifier algorithms, systems, Solution Mutation by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• 04081 Abstracts Collection -- Theory of Evolutionary Algorithms
  Hans-Georg Beyer and Thomas Jansen and Colin Reeves and Michael D. Vose Theory of Evolutionary Algorithms, 04081, Dagstuhl, Germany, Internationales Begegnungs- und Forschungszentrum (IBFI), Schloss Dagstuhl, Germany, (2004) $<$http://drops.dagstuhl.de/opus/volltexte/2006/498$>$ [date of citation: 2006-01-01] .
  to time co-evolution, Evolutionary analysis, programming, genetic chains algorithms, run landscape Markov by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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