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Code Growth, Explicitly Defined Introns, and Alternative Selection Schemes
Peter W. H. Smith, and Kim Harries Evolutionary Computation 6(4):339--360 (Winter 1998)
to algorithms, bloat, encoding fitness genetic introns, linear parsimony, programming, selection, by brazovayeye and 2 other users on Jun 19, 2008, 5:46 PM
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Genetic Programming: Theory, Implementation, and the Evolution of Unconstrained Solutions
Alan Robinson Hampshire College, Division III thesis, (May 2001)
to GP, Grazer Java LJGP Lawnmower Linear PushGP, algorithms, genetic problem problem, programming, by brazovayeye on Jun 19, 2008, 5:46 PM
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Grammatical Evolution
Michael O'Neill, and Conor Ryan IEEE Transactions on Evolutionary Computation 5(4):349--358 (August 2001)
to Crossover, Genome, Genotype-Phenotype Grammar, Linear Mapping, algorithms, automatic complexity computational evolution, genetic grammatical programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Crossover in Grammatical Evolution: The Search Continues
Michael O'Neill, Conor Ryan, Maarten Keijzer, and Mike Cattolico Genetic Programming, Proceedings of EuroGP'2001, volume 2038 of LNCS, page 337--347. Lake Como, Italy, Springer-Verlag, (June 2002)
to Crossover, Genome, Genotype-Phenotype Grammar Linear Mapping, algorithms, evolution, genetic grammatical programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Evolving Evolutionary Algorithms Using Linear Genetic Programming
Mihai Oltean Evolutionary Computation 13(3):387--410 (Fall 2005)
to algorithms algorithms, evolutionary evolving genetic linear programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Multi Expression Programming
Mihai Oltean, and D. Dumitrescu (May 2002)submitted .
to Computation, Evolutionary Expression Multi Programming, Tic-Tac-Toe, algorithms, game generation. genetic heuristics linear programming, regression, representation, strategy, symbolic by brazovayeye on Jun 19, 2008, 5:46 PM
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Genetic Programming, Proceedings of EuroGP'2001
Julian Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea G. B. Tettamanzi, and William B. Langdon (Eds.). volume 2038 of LNCS, Lake Como, Italy, Springer-Verlag, (June 2002)
to Active Animat, Arm, Artificial BDD, Bloat, Block-oriented Boolean CAD, Causality, Cellular Character Complexity, Computational Contour Controller Crossover DNA, Developmental Discovery, Dynamic Evolution Evolution, Evolvability, Evolvable Extraction, Feature Fitness, Fixed Function Generator, Genetic Genotype-Phenotype Grammatical Hardware, Image Intrinsic Inverse Iterated Kinematics, Knowledge Layered Learning, Length Linear MAX Machine Mapping, Multi-expression Multipopulation Neutral One-then-zeros Parallel Pattern Polymorphism, Problem Problem, Process Program Reasoning, Recognition, Regression, Retina, Robotic STGP, Series Symbolic Systems, Time Trees, Turing VHDL, VLSI algorithms, bias, control, design, detection, distributed distributions, function genetic individuals, landscape, machines, model, modelling, modular mutation, of points, prediction, problem, processing, programming, representation, representations, robot, robust, size, structures, by brazovayeye on Jun 19, 2008, 5:46 PM
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Using Schema Theory To Explore Interactions Of Multiple Operators
Nicholas Freitag McPhee, and Riccardo Poli GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page 853--860. New York, Morgan Kaufmann Publishers, (September 2002)
to algorithms, bias, genetic interaction, length linear operator programming, proportion, schema structures theory, variable by brazovayeye and 2 other users on Jun 19, 2008, 5:46 PM
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Implementing Linear Models in Genetic Programming
Yun-Seog Yeun, Won-Sun Ruy, Young-Soon Yang, and Nam-Joon Kim IEEE Transactions on Evolutionary Computation 8(6):542--566 (December 2004)
to (DDBS), (MDL) Directional algorithms, derivative-based description genetic length linear minimum model, polynomial, principle, processing programming, smoothing symbolic by brazovayeye and 1 other user 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, Jun Chen Suh, and Young-Soon Yang Information Sciences 122(2-4):259--280 (2000)
to Function Group Linear additive algorithms, approximation, associative genetic memory, of programming programming, tree by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Investigations of Different Seeding Strategies in a Genetic Planner
C. Henrik Westerberg, and John Levine Applications of Evolutionary Computing, volume 2037 of LNCS, page 505--514. Lake Como, Italy, Springer-Verlag, (June 2002)
to STRIPS, algorithms, artificial blocks classical crossover, genetic intelligence, linear one plan, planning, point population programming, representation, seeding, world by brazovayeye on Jun 19, 2008, 5:35 PM
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Gene expression programming based on simulated annealing
Jiang Siwei, Cai Zhihua, Zeng Dan, Liu Yadong, and Li Qu Proceedings International Conference on Wireless Communications, Networking and Mobile Computing, 2, page 1264--1267. IEEE, (November 2006)
to Expression Gene Programming, algorithms, annealing chromosomes, computer genetic genotype linear phenotype programming, programs, simulated system, by brazovayeye on Jun 19, 2008, 5:35 PM
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Protein Motif Discovery with Linear Genetic Programming
Rolv Seehuus Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Proceedings, Part III, volume 3683 of Lecture Notes in Computer Science, page 770--776. Melbourne, Australia, Springer, (September 2005)
to ListGP algorithms, genetic linear programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Genetic programming with context-sensitive grammars
Norman Paterson Saint Andrew's University, (September 2002)
to Gads algorithms, derivation, genetic genotype, linear programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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A Schema Theory Analysis of Mutation Size Biases in Genetic Programming with Linear Representations
Nicholas Freitag McPhee, Riccardo Poli, and Jonathan E. Rowe Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page 1078--1085. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, (March 2003)
to algorithms, bias genetic linear mutation, programming, representation, schema size theory, by brazovayeye on Jun 19, 2008, 5:35 PM
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A schema theory analysis of the evolution of size in genetic programming with linear representations
Nicholas Freitag McPhee, and Riccardo Poli Genetic Programming, Proceedings of EuroGP'2001, volume 2038 of LNCS, page 108--125. Lake Como, Italy, Springer-Verlag, (June 2002)
to Bloat, Fitness Length Linear One-then-zeros Schema algorithms, distributions, genetic glitches, landscape problem programming, representations, theory, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Model-building with interpolated temporal data
R. I. Bob McKay, Hoang Tuan Hao, Naoki Mori, Nguyen Xuan Hoai, and Daryl Essam Ecological Informics 1(3):259--268 (November 2006)4th International Conference on Ecological Informatics .
to Linear Modelling algorithms, genetic interpolation, programming, by brazovayeye on Jun 19, 2008, 5:35 PM
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Model-Building with Interpolated Temporal Data
R. I. McKay, Hoang Tuan Hao, Naoki Mori, Nguyen Xuan Hoai, and Daryl Essam Proceedings of The Conference of the International Society for Ecological Informatics ISEI04, Busan, Korea, (October 2004)
to Interpolation, Linear Modelling algorithms, genetic programming, by brazovayeye on Jun 19, 2008, 5:35 PM
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Evolving recurrent models using linear GP
Xiao Luo, Malcolm I. Heywood, and A. Nur Zincir-Heywood GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page 1787--1788. Washington DC, USA, ACM Press, (January 2007)
to Poster, algorithms, architectures, experimentation, genetic languages, linear programming programming, recurrent by brazovayeye and 1 other user 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, volume 2724 of LNCS, page 1702--1714. Chicago, Springer-Verlag, (December 2003)
to Neighborhood, algorithms, amorphous average bit boolean climbing, computer computer, computing, expected fitness flip function, general genetic hill landscapes, linear map, modulo mutation, point programming programming, proof, random reversible route runtime, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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