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    » Evolving Sinusoidal Oscillators Using Genetic Algorithms
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    AIEDAM
    2008
    127views more  AIEDAM 2008»
    Evolving blackbox quantum algorithms using genetic programming
    13 years 6 months ago
    Evolving blackbox quantum algorithms using genetic programming
    Download  e3.physik.uni-dortmund.de
    Although it is known that quantum computers can solve certain computational problems exponentially faster than classical computers, only a small number of quantum algorithms have ...
    Ralf Stadelhofer, Wolfgang Banzhaf, Dieter Suter
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    ALIFE
    1999
    164views Modeling And Simulation» more  ALIFE 1999»
    An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
    13 years 5 months ago
    An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
    Download  www2.nict.go.jp
    A novel machine language genetic programming system that uses one-dimensional core memories is proposed and simulated. The core is compared to a biochemical reaction space, and in ...
    Hikeaki Suzuki
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    GECCO
    2006
    Springer
    187views Optimization» more  GECCO 2006»
    Using a genetic algorithm to evolve cellular automata for 2D/3D computational development
    13 years 9 months ago
    Using a genetic algorithm to evolve cellular automata for 2D/3D computational development
    Download  www.cs.bham.ac.uk
    Arturo Chavoya, Yves Duthen
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    ICEC
    1994
    123views more  ICEC 1994»
    Using Real-Valued Genetic Algorithms to Evolve Rule Sets for Classification
    13 years 7 months ago
    Using Real-Valued Genetic Algorithms to Evolve Rule Sets for Classification
    Download  sci2s.ugr.es
    Arthur L. Corcoran, Sandip Sen
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    GECCO
    2004
    Springer
    98views Optimization» more  GECCO 2004»
    Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
    13 years 11 months ago
    Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
    Download  www.cs.york.ac.uk
    Abstract. This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we add...
    Farzan Rashidi, Mehran Rashidi
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