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publications

(10)   

• Exact GP Schema Theory for Headless Chicken Crossover and Subtree Mutation
  Riccardo Poli and Nicholas F. McPhee Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page1062--1069. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, 27-30 May2001.
  to schema chicken subtree programming, biases genetic crossover, mutation, algorithms, headless operator theory, by brazovayeye on Jun 19, 2008, 5:46 PM
  URL | BibTeX 
• Genetic Programming, Proceedings of EuroGP'2001
  Julian Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon (eds.). volume2038ofLNCS, Lake Como, Italy, Springer-Verlag, 18-20 April2001.
  to Linear control, Evolvable Feature of robust, Computational Block-oriented modelling, Grammatical Neutral Inverse machines, Kinematics, Multi-expression Contour Trees, Active Cellular Controller Series Recognition, Evolution, Arm, Fitness, robot, Time programming, size, BDD, Image Reasoning, CAD, Polymorphism, Learning, Discovery, One-then-zeros Intrinsic Function Character STGP, Crossover Length modular representation, model, DNA, Systems, Causality, Robotic distributed design, function MAX Extraction, Layered Regression, Process Program Genotype-Phenotype individuals, Retina, Complexity, Turing VLSI bias, landscape, Parallel Knowledge Developmental prediction, Problem structures, Iterated Dynamic points, Pattern Evolvability, VHDL, Fixed processing, mutation, Mapping, Generator, Problem, Multipopulation algorithms, Machine Boolean Bloat, Animat, Genetic Symbolic genetic problem, Artificial representations, detection, distributions, Hardware, Evolution by brazovayeye on Jun 19, 2008, 5:46 PM
  URL | BibTeX 
• Climbing Unimodal Landscapes With Neutrality: A Case Study Of The One-max Problem
  Tina Yu and Julian Miller GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page704. New York, Morgan Kaufmann Publishers, 9-13 July2002.
  to neutrality, exploration, adaptive genetic poster paper, mutation, exploitation, algorithms, neutral OneMax by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
  URL | BibTeX 
• Neutrality and the Evolvability of Boolean Function Landscape
  Tina Yu and Julian Miller Genetic Programming, Proceedings of EuroGP'2001, volume2038ofLNCS, page204--217. Lake Como, Italy, Springer-Verlag, 18-20 April2001.
  to Graph-based Programming Neutral mutation, landscape, Boolean vs. Genetic function programming, genetic Exploitation, Exploration Neutrality, algorithms, Evolvability, 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
  BibTeX 
• A Schema Theory Analysis of Mutation Size Biases in Genetic Programming with Linear Representations
  Nicholas Freitag McPhee and Riccardo Poli and Jonathan E. Rowe Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page1078--1085. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, 27-30 May2001.
  to schema linear programming, genetic mutation, representation, algorithms, bias theory, size by brazovayeye 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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• Convergence of Program Fitness Landscapes
  W. B. Langdon Genetic and Evolutionary Computation -- GECCO-2003, volume2724ofLNCS, page1702--1714. Chicago, Springer-Verlag, 12-16 July2003.
  to computer computing, fitness mutation, Neighborhood, landscapes, programming programming, computer, boolean proof, algorithms, amorphous flip hill linear climbing, function, random general runtime, bit point expected route genetic modulo reversible average map, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Alternatives in Automatic Function Definition: A Comparison Of Performance
  Kenneth E. Kinnear, Jr. Advances in Genetic Programming, chapter 6, MIT Press, (1994)
  to (shrink) programming, Hoist GLib ADF, genetic MA, mutation, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• The Application of Genetic Programming in Milk Yield Prediction for Dairy Cows
  Chaochang Chiu and Jih-Tay Hsu and Chih-Yung Lin Rough Sets and Current Trends in Computing : Second International Conference, RSCTC 2000. Revised Papers, volume2005ofLecture Notes in Computer Science, page598--602. Banff, Canada, Springer-Verlag, October 16-192001.
  to dynamic programming, yield milk genetic prediction mutation, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX