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Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection
Yang Zhang, and Peter I. Rockett GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 1, page 795--802. Washington DC, USA, ACM Press, (January 2007)
to Evolutionary Multiobjective Optimisation, algorithms, design, detector, edge extractor, feature genetic multi-objective programming, theory by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Optimal concurrent design based upon distributed product development life-cycle modeling
Fengdong Zhang, and Deyi Xue Robotics and Computer-Integrated Manufacturing 17(6):469--486 (2001)
to (PSO), Concurrent Distributed Particle algorithms, computing design, genetic optimization programming, swarm by brazovayeye on Jun 19, 2008, 5:46 PM
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Molecular programming: evolving genetic programs in a test tube
Byoung-Tak Zhang, and Ha-Young Jang GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page 1761--1768. Washington DC, USA, ACM Press, (January 2007)
to (MEC), (MP) DNA algorithms, computation computing, design, evolution, evolutionary genetic in molecular programming programming, programs, vitro by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Multipopulation cooperative coevolutionary programming MCCP to enhance design innovation
Emily M. Zechman, and S. Ranji Ranjithan GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page 1641--1648. Washington DC, USA, ACM Press, (January 2007)
to algorithms, cancer classification, design, evolutionary genetic lymphoma niching programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Proceedings of the 2000 Congress on Evolutionary Computation CEC00
? La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (June 2000)
to agents, algorithms, and applications, biological breast cancer, classifiers, coevolution, constraint control control, controlling cultural design design, developement devices dynamic ec ec, ecological ecosystems, engineering evolutionary evolvable evolving fitness, fossil foundations, game games genetic handling, hardware, hybrid image image/ information intelligent learning like local markets, medical modeling modeling/ modelling modelling, multi-agent multi-objective network networks, neural new novel operations optimization, paradigms, parallel processing processing, programming, record, representations, research revisiting robotic scheduling, search search, series signal spaces, stroganoff, system systems systems, tasks, techniques, the themes, theory time by brazovayeye on Jun 19, 2008, 5:46 PM
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Investigating the performance of module acquisition in cartesian genetic programming
James Alfred Walker, and Julian Francis Miller GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page 1649--1656. Washington DC, USA, ACM Press, (January 2007)
to acquisition, adders, algorithms, cartesian comparators, computational design, digital effort, genetic modularity, module multipliers, performance programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures
Lefteris Virirakis IEEE Transactions on Evolutionary Computation 7(5):456--481 (October 2003)
to CAD, G-CAD, GENETICA, GP, abstractions, algorithms, architectural artificial computation, computer data design, domain environment environments, evolutionary evolving experimental expression, formal general generation genetic genotypes, high intelligence, language, languages, level logic, method, optimization, problem problem-solving problem-solving, programming programming, results, scenarios, solving, specific structure, structures, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Use of genetic programming for automatic synthesis of post-2000 patented analog electrical circuits and patentable controllers
Matthew J. Streeter, John R. Koza, and Martin A. Keane Computer Aided Optimum Design of Structures VIII, 8, page 35--44. Detroit, Michigan, USA, WIT Press, (2003)
to algorithms, automated circuits, controllers, design, genetic invention, parameterized programming, topology by brazovayeye on Jun 19, 2008, 5:46 PM
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The invention of CMOS amplifiers using genetic programming and current-flow analysis
Thanwa Sripramong, and Christofer Toumazou IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 21(11):1237--1252 (November 2002)
to CAD, CMOS ICs, algorithms, amplifiers, analog analogue analysis analysis, automated circuit circuits, computing, current-flow design design, differential environment, genetic integrated method, operational optimisation optimisation, programming, rules system, topology-independent by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Automated hardware design using genetic programming, VHDL, and FPGAs
Robert L. Popp, David J. Montana, Richard R. Gassner, Gordon Vidaver, and Suraj Iyer IEEE International Conference on Systems, Man, and Cybernetics, 3, page 2184--2189. San Diego, CA USA, IEEE, (November 1998)
to CAD, Description FPGA, Hardware Language, VHDL, VHSIC algorithms, arrays, automated circuit configuration description design design, evolution, field gate genetic hardware languages, logic, management, optimisation, programmable programming, requirements, software system variants by brazovayeye on Jun 19, 2008, 5:46 PM
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Applying Multi-Objective Evolutionary Computing to Auction Mechanism Design
Steve Phelps, Simon Parsons, Elizabeth Sklar, and Peter McBurney ULCS-02-031. Department of Computer Science, University of Liverpool, UK, (2002)
to algorithms, auctions, computation, design, evolutionary genetic mechanism multi-objective optimisation programming, by brazovayeye on Jun 19, 2008, 5:46 PM
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Co-evolution of auction mechanisms and strategies: Towards a novel approach to microeconomic design
Steve Phelps, Simon Parsons, Peter McBurney, and Elizabeth Sklar ULCS-02-004. Department of Computer Science, University of Liverpool, UK, (2002)
to (MAS), Auction Evolutionary Market Multi-agent Resource Trading algorithms, allocation, computation, design, genetic mechanisms, programming, strategies systems by brazovayeye on Jun 19, 2008, 5:46 PM
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An Automatic Tool to Design CNN-Um Programs
Giovanni Egidio Pazienza, Kristof Karacs, and Xavier Vilasis-Cardona European Conference on Circuit Theory and Design, ECCTD 2007, page Paper ID 5290. Seville, Spain, IEEE, (August 2007)
to Analogic Automatic CNN-UM Image algorithms algorithms, design, genetic processing programming, programs, 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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Principles in the Evolutionary Design of Digital Circuits-Part II
Julian F. Miller, Dominic Job, and Vesselin K. Vassilev Genetic Programming and Evolvable Machines 1(3):259--288 (July 2000)
to algorithms, based case circuit circuits, computing, design, digital evolutionary evolvable extraction fitness genetic hardware, landscapes, principle programming, reasoning, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Automated optimum design of structures using genetic programming
Yaowen Yang, and Chee Kiong Soh Computers and Structures 80(18-19):1537--1546 (July 2002)
to Fuzzy Ground Optimum algorithms, design, genetic logic, optimisation programming, structure, by brazovayeye on Jun 19, 2008, 5:35 PM
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Knowledge interaction with genetic programming in mechatronic systems design using bond graphs
Jiachuan Wang, Zhun Fan, Janis P. Terpenny, and Erik D. Goodman IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(2):172--182 (May 2005)
to Bond MEMS acquisition, algorithms, application, approach, assistants, band-pass bandpass bond computation, computing, control controller design design, devices, discovery, engineering evolutionary filter filters, genetic graphs, intelligent interaction, knowledge mechanical mechatronic mechatronics mechatronics, micromechanical network programming, quarter-car suspension synthesis synthesis, system systems unified by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Automated analog circuit design using two-layer genetic programming
Feng Wang, Yuanxiang Li, Li Li, and Kangshun Li Applied Mathematics and Computation 185(2):1087--1097 (March 2008)Special Issue on Intelligent Computing Theory and Methodology .
to Analogue Electrical Evolutionary Evolvable algorithms, circuit circuits computation, design, genetic hardware, programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
Ivan Tanev GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 1, page 687--694. Washington DC, USA, ACM Press, (January 2007)
to Algorithms, Distribution Estimation algorithms, context-sensitive design, genetic grammar, locomotion, mutation of programming, snakebot strategies, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Operator Choice and the Evolution of Robust Solutions
Terence Soule Genetic Programming Theory and Practise, chapter 16, Kluwer, (2003)
to Code algorithms, bloat, code design, genetic growth, introns, operators, programming, robust solutions by brazovayeye on Jun 19, 2008, 5:35 PM
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