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    FPGA
    1998
    ACM
    120views FPGA» more  FPGA 1998»
    Evolving Computer Programs Using Rapidly Reconfigurable Field-Programmable Gate Arrays and Genetic Programming
    15 years 3 months ago
    Evolving Computer Programs Using Rapidly Reconfigurable Field-Programmable Gate Arrays and Genetic Programming
    Download  www.cs.montana.edu
    John R. Koza, Forrest H. Bennett III, Jeffrey L. H...
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    EPS
    1995
    Springer
    126views Artificial Intelligence» more  EPS 1995»
    An Adaptive Inductive Logic Programming System Using Genetic Programming
    15 years 3 months ago
    An Adaptive Inductive Logic Programming System Using Genetic Programming
    Download  cptra.ln.edu.hk
    Man Leung Wong, Kwong-Sak Leung
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    GPEM
    2010
    180views more  GPEM 2010»
    Developments in Cartesian Genetic Programming: self-modifying CGP
    14 years 10 months ago
    Developments in Cartesian Genetic Programming: self-modifying CGP
    Download  www.evolutioninmaterio.com
    Abstract Self-Modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Genetic Programming founded on Cartesian Genetic Programming....
    Simon Harding, Julian F. Miller, Wolfgang Banzhaf
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    GECCO
    2007
    Springer
    138views Optimization» more  GECCO 2007»
    Unwitting distributed genetic programming via asynchronous JavaScript and XML
    15 years 5 months ago
    Unwitting distributed genetic programming via asynchronous JavaScript and XML
    Download  hampshire.edu
    The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
    Jon Klein, Lee Spector
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    GECCO
    2006
    Springer
    130views Optimization» more  GECCO 2006»
    Investigation on artificial ant using analytic programming
    15 years 3 months ago
    Investigation on artificial ant using analytic programming
    Download  www.cs.bham.ac.uk
    The paper deals with a alternative tool for symbolic regression
    Zuzana Oplatková, Ivan Zelinka
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