BibSonomy :: user  :: brazovayeye ::

bookmarks

publications

(35)   

• Synthesis of interest point detectors through genetic programming
  Leonardo Trujillo and Gustavo Olague GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page887--894. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to synthesis, programming, program genetic theory feature representation, invariants, algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
  URL | BibTeX | spam 
• A String Representation Methodology to Generate Syntactically Valid Genetic Programs
  Socrates Torres and Monica Larre and Josi Torres WSEAS IMCCAS-ISA-SOSM and MEM-MCP, Cancun, Mexico, 12-16 May2002.
  to Representation, programming, Symbolic genetic String Regression algorithms, by brazovayeye on Jun 19, 2008, 5:46 PM
  BibTeX | spam 
• Compositional pattern producing networks: A novel abstraction of development
  Kenneth O. Stanley Genetic Programming and Evolvable Machines8(2):131--162June2007. Special issue on developmental systems .
  to Complexity, encoding, Representation, Producing CPPN evolvable Generative Developmental Indirect genetic Artificial art, Pattern embryogeny, hardware,Evolutionary algorithms, systems, Networks, computation, Compositional by brazovayeye and 2 other people on Jun 19, 2008, 5:46 PM
  BibTeX | spam 
• An Essay Concerning Human Understanding of Genetic Programming
  Lee Spector Genetic Programming Theory and Practice, chapter 2, Kluwer, (2003)
  to biology, visualisation, programming, phylogeography, genetic diversification representation, algorithms, development, by brazovayeye on Jun 19, 2008, 5:46 PM
  URL | BibTeX | spam 
• Solving High-Order Boolean Parity Problems with Smooth Uniform Crossover, Sub-Machine Code GP and Demes
  Riccardo Poli and Jonathan Page Genetic Programming and Evolvable Machines1(1/2):37--56April2000.
  to parity problems programming, uniform subsymbolic genetic crossover, sub-machine-code representation, algorithms, gp, demes, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
  URL | BibTeX | spam 
• Multi Expression Programming
  Mihai Oltean and D. Dumitrescu May2002. submitted .
  to Tic-Tac-Toe, Evolutionary Multi Programming, linear Computation, regression, symbolic game programming, genetic strategy, heuristics Expression representation, algorithms, generation. by brazovayeye on Jun 19, 2008, 5:46 PM
  URL | BibTeX | spam 
• 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 | spam 
• 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
  URL | BibTeX | spam 
• The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
  Annie S. Wu and Ivan Garibay Genetic Programming and Evolvable Machines3(2):157--192June2002.
  to gene expression, proportional genetic representation, algorithms, algorithm by brazovayeye and 2 other people on Jun 19, 2008, 5:35 PM
  BibTeX | spam 
• Investigations of Different Seeding Strategies in a Genetic Planner
  C. Henrik Westerberg and John Levine Applications of Evolutionary Computing, volume2037ofLNCS, page505--514. Lake Como, Italy, Springer-Verlag, 18 April2001.
  to linear one blocks plan, point intelligence, seeding, programming, classical crossover, genetic representation, algorithms, artificial world STRIPS, planning, population by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX | spam 
• Digital Circuit Evolution and Fitness Landscapes
  Vesselin K. Vassilev and Julian F. Miller and Terence C. Fogarty Proceedings of the Congress on Evolutionary Computation, 2, Mayflower Hotel, Washington D.C., USA, IEEE Press, 6-9 July1999.
  to evolution, fitness optimisation, genotype engineering digital landscapes, characteristics, search, programmable sequences, idealised connectivity, evolutionary alphabets, computation, field-programmable problems, cell sequences array, correlation arrays, logic gate field functionality, combinatorial problem, circuits, circuit representation, model, optimisation by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX | spam 
• Evolutionary synthesis of digital filter structures using genetic programming
  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 PM
  BibTeX | spam 
• 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
  URL | BibTeX | spam 
• Enzyme Genetic Programming: Modelling Biological Evolvability in Genetic Programming
  Michael A. Lones The University of York, Heslington, York, YO10 5DD, UK, September2003.
  to biological programming, genetic self-organisation, representation, modelling algorithms, evolvability, by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX | spam 
• Modelling Biological Evolvability: Implicit Context and Variation Filtering in Enzyme Genetic Programming
  Michael A. Lones and Andy M. Tyrrell Proceedings of the Fifth International Workshop on Information Processing in Cells and Tissues (IPCAT2003), September2003.
  to programming, genetic self-organisation representation, algorithms, evolvability, by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX | spam 
• Genetical Engineering of Handwriting Representations
  Alexandre Lemieux and Christian Gagn'e and Marc Parizeau Eighth International Workshop on Frontiers in Handwriting Recognition 2002 (IWFHR 2002), page145--150. Niagara-on-the-Lake, Ontario, Canada, August 6-82002.
  to extraction, region set handwritten classification, character programming, fuzzy regions, feature algorithms, theory, decomposition, Unipen sets, frame pattern genetic representations, floating base operators, fuzzy-regional database, representation, handwriting recognition, by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX | spam 
• Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
  Krzysztof Krawiec Genetic Programming and Evolvable Machines3(4):329--343December2002.
  to of construction, programming, genetic change feature representation, algorithms, machine selection learning, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
  BibTeX | spam 
• Multi-Domain Observations Concerning Automatic Synthesis of Human-Competitive Designs Using Genetic Programming for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits
  John Koza and Sameer H. Al-Sakran and Lee W. Jones Genetic Programming Theory and Practice IV, volume5ofGenetic and Evolutionary Computation, chapter 4, Springer, Ann Arbor, 11-13 May2006.
  to optical simulatable, reasonableness, automated control, design, computing simulate, mechanical, of replication hardware, patented mechanical turtle, transistor, patent, invention, optic, PID, system, controllers, development, lens controller, topology, native, circuits, automated, previously analogue circuit, systems, developmental, optical, NODE, antenna, automate, result, developmental quantum, unsimulatable analog, structure, lenses, programming, quantum simulation, process, algorithms, amplifiers, optics, antennas, human-competitive lens, SPICE, NODE_INCREASED_SCOPE, qubit, QGAME, filter, genetic automatic, representation, simulator, human-competitive, by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX | spam 
• Linear-Tree GP and its comparison with other GP structures
  Wolfgang Kantschik and Wolfgang Banzhaf Genetic Programming, Proceedings of EuroGP'2001, volume2038ofLNCS, page302--312. Lake Como, Italy, Springer-Verlag, 18-20 April2001.
  to structure, Crossover Linear tree programming, genetic GP representation, algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
  URL | BibTeX | spam 
• Recombination Guidance for Numerical Genetic Programming
  Hitoshi Iba and Taisuke Sato and Hugo de Garis 1995 IEEE Conference on Evolutionary Computation, 1, page97--102. Perth, Australia, IEEE Press, 29 November - 1 December1995.
  to computer series, series STROGANOFF, algorithm-based regression analysis statistical function time recombination, programming, search method, mechanism, algorithms, structured multiple problems, program, analysis, problems adaptive recombination chaotic prediction, system identification genetic program strategy, numerical representation, vision, fitting, estimation, nonlinear by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX | spam