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(9)   

• 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
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• Geometry Reconstruction of Conducting Cylinders Using Genetic Programming
  Raymond A. Wildman and Daniel S. Weile IEEE Transactions on Antennas and Propagation55(3):629--636March2007.
  to conducting computational bodies, inverse programming, electromagnetic two-dimensional algorithms, tree-shaped encoding, electromagnetics, scattering functions, conductors cylinder, Boolean geometry geometry, combination, genetic problem, wave chromosome, scattering, reconstruction, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Using Domain Knowledge in Evolutionary System Identification
  Marc Schoenauer and Michele Sebag Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, Athens, 19-21 September2001.
  to problems programming, inverse genetic algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolving Hand-Eye Coordination for a Humanoid Robot with Machine Code Genetic Programming
  William B. Langdon and Peter Nordin Genetic Programming, Proceedings of EuroGP'2001, volume2038ofLNCS, page313--324. Lake Como, Italy, Springer-Verlag, 18-20 April2001.
  to Vision, Arm, Robotics, Robotic Brain Inverse Discipulus Kinematics, Stereo Genetic Robots, programming, genetic Reasoning, Building, algorithms, Humanoid by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Application of genetic programming to the calibration of industrial robots
  J. U. Dolinsky and I. D. Jenkinson and G. J. Colquhoun Computers in Industry58(3):255--264April2007.
  to calibration, static programming, kinematic genetic Inverse Co-evolution algorithms, learning, supervised Distal by brazovayeye on Jun 19, 2008, 5:35 PM
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• Polar IFS+Parisian Genetic Programming=Efficient IFS Inverse Problem Solving
  Pierre Collet and Evelyne Lutton and Frederic Raynal and Marc Schoenauer Genetic Programming and Evolvable Machines1(4):339--361October2000.
  to polar for problem Functions fractals, Iterated inverse programming, System, genetic IFS, algorithms, IFS by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Closed form solutions for inverse kinematics approximation of general 6R manipulators
  Frederic Chapelle and Philippe Bidaud Mechanism and Machine Theory39(3):323--338March2004.
  to Mechanical programming, Symbolic genetic Manipulators, Inverse regression design, algorithms, kinematics, Genetic by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evaluation de systemes robotiques et comportements complexes par algorithmes evolutionnaires
  Frederic Chapelle University Pierre et Marie Curie, Paris VI, France, September2002. in french .
  to minimally simultaneous control, regression, algorithm, devices, structure/control symbolic design, surgery medical programming, inverse kinematic problem, evaluation, genetic simulation, invasive Computer-aided systems, robotic models, by brazovayeye on Jun 19, 2008, 5:35 PM
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• A closed form for inverse kinematics approximation of general 6R manipulators using genetic programming
  Frederic Chapelle and Philippe Bidaud IEEE International Conference on Robotics and Automation (ICRA'01), 4, page3364--3369. Seoul, Korea, IEEE, 21-28 May2001.
  to parsimony regression, state, training inverse ADF, programming, evolutionary algorithms, kinematics, manipulators, approximation, data, joint preasure, symbol symbolic learning manipulator manipulation, industrial genetic variables, base 6R subsample demes, steady by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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