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Lefteris Virirakis IEEE Transactions on Evolutionary Computation7(5):456--481October2003. to computer specific logic, data languages, design, GENETICA, scenarios, problem-solving, structure, results, programming level intelligence, programming, method, evolutionary domain abstractions, environments, G-CAD, CAD, algorithms, GP, generation computation, expression, solving, problem-solving experimental problem optimization, evolving general formal environment structures, genetic architectural genotypes, high artificial language, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PMRobert Vanyi and Gabriella Kokai Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page163--172. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001. to binary descriptions, image structural images, Lindenmayer programming, structures, branching, genetic algorithms, reconstruction systems, by brazovayeye on Jun 19, 2008, 5:46 PM- to agents, computing, engineered routing, strategies, scheduling real of programming, hardware, quantum pedagogy, evolutionary applications algorithms, ant robotics, methodology, adaptive behavior, life, optimization, evolvable molecular philosophy, evolution and structures, genetic colony DNA classifier systems, artificial world design by brazovayeye on Jun 19, 2008, 5:46 PM
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- 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
Kazuyoshi Uesaka and Masayuki Kawamata IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing50(12):977--983December2003. to equations, fitness matrices, digital function response subroutines, sensitivity, programming, method, errors, automatically evolutionary algorithms, synthesis filters, fourth-order wordlength transfer roundoff effects, defined measure, matrix IIR global low-coefficient functions, optimization, S-expressions, low-output difference computability, infinite-impulse structures, filter, genetic representation, noise, filter by brazovayeye on Jun 19, 2008, 5:35 PMJustinian Rosca Genetic Programming Theory and Practice, chapter 8, Kluwer, (
2003)
to code, Evolutionary fitness complexity introns, effect, effective drift, programming, variable-size algorithms, algorithms with schemata, code noneffective rooted-tree and growth, size structures, diffusion, genetic fitness-size landscapes model, small by brazovayeye on Jun 19, 2008, 5:35 PMHelmut A. Mayer Evolutionary Computation6(4):361--386Winter1998. to spontaneous noncoding combinatorial segments, promoter/terminator structures, sequences, genetic crossover, optimization. algorithms, chromosome by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMW. B. Langdon Genetic Programming 1996: Proceedings of the First Annual Conference, page141--148. Stanford University, CA, USA, MIT Press, 28--31 July1996. to Evolution, brackets, CFG, matched (ADF), Stack, Pareto Push Structures, Data free programming, Defined algorithms, Object Learning, Programming, Machine Expressions, automatic Demes code Automatic grammar Functions Oriented genetic Artificial Polish Reverse fitness, context Automatically Dyck language down language, generation, induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMW. B. Langdon Research Note, RN/96/1. UCL, Gower Street, London, WC1E 6BT, UK, January1996. to Evolution, (ADF), Stack, Pareto Push Structures, Data free programming, Defined algorithms, Object Learning, Programming, Machine Expressions, automatic Demes Automatic code Functions Oriented genetic Artificial Polish Reverse fitness, context Automatically language down generation, induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMW. B. Langdon Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), page295--302. Pittsburgh, PA, USA, Morgan Kaufmann, 15-19 July1995. to Evolution, First-in (ADF), Stack, Pareto Push Structures, Data programming, Defined algorithms, Object Learning, Programming, Machine Queue, Demes Automatic Functions Oriented genetic (FIFO) Artificial fitness, Automatically down first-out by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMW. B. Langdon Research Note, RN/95/1. UCL, Gower Street, London, WC1E 6BT, UK, January1995. to Evolution, First-in (ADF), Stack, Pareto Push Structures, Data programming, Defined algorithms, Object Learning, Programming, Machine Queue, Demes Automatic Functions Oriented genetic (FIFO) Artificial fitness, Automatically down first-out by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMFrancisco Fernandez and Marco Tomassini and Leonardo Vanneschi Genetic Programming, Proceedings of EuroGP'2001, volume2038ofLNCS, page51--63. Lake Como, Italy, Springer-Verlag, 18-20 April2001. to Programming, Parallelism, structures, programming, Distributed genetic evolutionary algorithms, algorithms Parallel Multipopulation Genetic by brazovayeye on Jun 19, 2008, 5:35 PMWeiguo Fan and Michael D. Gordon and Praveen Pathak IEEE Transactions on Knowledge and Data Engineering16(4):523--527April2004. to intelligent contextual mining routing, engines, Internet, data mining, fixed function tree programming, search discovery, context-specific algorithms, data, information text TREC retrieval, corporate intranets, structures, term genetic weighting strategy, ranking by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMStefan Elfwing and Eiji Uchibe and Kenji Doya and Henrik I. Christensen IEEE Transactions on Evolutionary Computation11(2):249--264April2007. to task (artificial learning development, RL learning, task, MAXQ hierarchical intelligence), structures, programming, decomposition method, genetic evolutionary foraging algorithms, reinforcement Lamarckian by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMJason M. Daida GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page799--806. Seattle, Washington, USA, ACM Press, 8-12 July2006. to synthesis, computational measurement, data languages, analysis geometry, methods, breaking, tree structures, programming, program genetic techniques, graphics symmetry algorithms, patterns, design theory, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMJason M. Daida Genetic Programming Theory and Practice, chapter 7, Kluwer, (
2003)
to problems tree structures, programming, test difficulty, genetic GP-hard, GP problem algorithms, theory, by brazovayeye on Jun 19, 2008, 5:35 PM