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(36)   

• A new tree structure coding for equivalent circuit and evolutionary estimation of parameters
  Jingxian Yu and Hongqing Cao and Yanbin He Chemometrics and Intelligent Laboratory Systems85(1):27--3915 January2007.
  to code, Equivalent structure programming, Tree genetic Electrochemical circuit, algorithms, Parameter optimisation impedance, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Genetic programming: optimal population sizes for varying complexity problems
  Alan Piszcz and Terence Soule GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page953--954. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to Poster, binary optimal, programming: problem sizing MAX tree difficulty, genetic problem, binomial-3, algorithms, sizing, population by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Regularization Approach to Inductive Genetic Programming
  Nikolay Y. Nikolaev and Hitoshi Iba IEEE Transactions on Evolutionary Computing54(4):359--375August2001.
  to series searching, bias, data mining, (artificial learning statistical prediction, inductive intelligence), time regularization, tree structures, programming, search genetic multivariate algorithms, nodes, STROGANOFF,local Kolmogorov-Gabor polynomials, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Improved Approach of Genetic Programming and Applications for Data Mining
  Yongqiang Zhang and Huashan Chen Advances in Natural Computation, Second International Conference, ICNC 2006, Proceedings, Part I, volume4221ofLecture Notes in Computer Science, page816--819. Xi'an, China, Springer, September 24-282006.
  to dynamic ordinary mining equation, depth, tree programming, genetic differential data algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Evolutionary Induction of Sparse Neural Trees
  Byoung-Tak Zhang and Peter Ohm and Heinz Mühlenbein Evolutionary Computation5(2):213--236(1997)
  to series higher-order principle, neural networks, algorithm prediction, time tree programming, program description genetic breeder Minimum length representation, algorithms, induction, by brazovayeye on Jun 19, 2008, 5:35 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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• Function approximations by superimposing genetic programming trees:with applications to engineering problems
  Yun Seog Yeun and Jun Chen Suh and Young-Soon Yang Information Sciences122(2-4):259--280(2000)
  to Linear Function memory, associative additive Group of programming programming, tree genetic algorithms, approximation, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Parallel Problem Solving from Nature - PPSN VIII
  Xin Yao and Edmund Burke and Jose A. Lozano and Jim Smith and Juan J. Merelo-Guerv'os and John A. Bullinaria and Jonathan Rowe and Peter Tino Ata Kab'an and Hans-Paul Schwefel (eds.). volume3242ofLNCS, Birmingham, UK, Springer-Verlag, 18-22 September2004.
  to AIS, computing, optimisation, meta-heuristic, robots, tabu VLSI, LCS, search, particle co-evolution, tree programming, evolutionary fuzzy-rules, algorithms, ant gene Pareto, scheduling, evolutionstragies, Bayes, Classifier constrained grammars, MAS network, XCS, PSO, multiobjective genetic regulation circuits, analogue systems, MOGA, EHW, swarms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Using context-aware crossover to improve the performance of GP
  Hammad Majeed and Conor Ryan GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page847--854. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to effects, standard one destructive aware context, point programming, tree crossover, genetic context algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Evaluating GP schema in context
  Hammad Majeed and Conor Ryan and R. Muhammad Atif Azad GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page1773--1774. Washington DC, USA, ACM Press, 25-29 June2005.
  to schema Poster, module tree semantics programming, genetic algorithms, acquisition, theory, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• A Survey and Comparison of Tree Generation Algorithms
  Sean Luke and Liviu Panait Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page81--88. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001.
  to initalization tree programming, genetic algorithms, generation by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Two Fast Tree-Creation Algorithms for Genetic Programming
  Sean Luke IEEE Transactions on Evolutionary Computation4(3):274--283September2000.
  to Introns, programming, Subtree Tree genetic Growth, Mutation, Population Initialization, algorithms, Creation, Bloat by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Language Generation for Conversational Agent by Evolution of Plan Trees with Genetic Programming
  Sung-Soo Lim and Sung-Bae Cho Modeling Decisions for Artificial Intelligence, Second International Conference, MDAI 2005, Proceedings, volume3558ofLecture Notes in Computer Science, page305--315. Tsukuba, Japan, Springer, July 25-272005.
  to tree programming, plan Interactive genetic Sentence Natural system, language algorithms, Dialogue generation, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Quadratic Bloat in Genetic Programming
  W. B. Langdon Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), page451--458. Las Vegas, Nevada, USA, Morgan Kaufmann, 10-12 July2000.
  to spaces code, binary linear introns, depth evolution growth, subquadratic of shape, tree programming, search genetic length bloat, algorithms, ineffective by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Genetic Programming Bloat without Semantics
  W. B. Langdon and W. Banzhaf Parallel Problem Solving from Nature - PPSN VI 6th International Conference, volume1917ofLNCS, page201--210. Paris, France, Springer Verlag, 16-20 September2000.
  to spaces binary linear depth evolution growth, subquadratic of shape, tree programming, search genetic length algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Size Fair and Homologous Tree Genetic Programming Crossovers
  William B. Langdon Genetic Programming and Evolvable Machines1(1/2):95--119April2000.
  to spaces binary linear uniform reduction, depth evolution growth, subquadratic bloat of shape, tree programming, search genetic length initialisation, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Size Fair Tree Crossovers
  W. B. Langdon Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), page255--256. Kasteel Vaeshartelt, Maastricht, Holland, 3-4 November1999.
  to spaces binary linear uniform reduction, depth evolution growth, bloat of shape, tree programming, search sub-quadratic genetic length initialisation, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Size Fair and Homologous Tree Crossovers
  W. B. Langdon SEN-R9907. Centrum voor Wiskunde en Informatica, CWI, P.O. Box 94079, Kruislaan 413, NL-1090 GB Amsterdam, The Netherlands, 11 April1999.
  to spaces binary linear uniform reduction, depth evolution growth, bloat of shape, tree programming, search sub-quadratic genetic length initialisation, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Size Fair and Homologous Tree Genetic Programming Crossovers
  W. B. Langdon Proceedings of the Genetic and Evolutionary Computation Conference, 2, page1092--1097. Orlando, Florida, USA, Morgan Kaufmann, 13-17 July1999.
  to spaces binary linear uniform reduction, depth evolution growth, subquadratic bloat of shape, tree programming, search genetic length initialisation, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Scaling of Program Tree Fitness Spaces
  W. B. Langdon Evolutionary Computation7(4):399--428Winter1999.
  to sampling, Carlo Fe regression, fitness gates, trail, symbolic stochastic landscapes, search, Monte tree programming, genetic nand Santa algorithms, ant artificial by brazovayeye on Jun 19, 2008, 5:35 PM
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