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      <name>pygressiongp</name>
      <created_at>2008-12-15T21:23:35Z</created_at>
      <updated_at>2009-05-31T09:38:05Z</updated_at>
      <description>PyGression GP is a symbolic regression system written in Python using genetic programming techniques. It's inspired by TinyGP, a highly optimised GP system that was originally developed to meet the specifications set out in the TinyGP competition of the Genetic and Evolutionary Computation Conference (GECCO) 2004. 

Start here to know what is all about: 

PyGression GPRationale: Why are we doing this?What is Symbolic Regression?What are Evolutionary Algorithms?What does Symbolic Regression have to do with Evolutionary Algorithms?Design Overview</description>
      <homepage_url>http://code.google.com/p/pygressiongp</homepage_url>
      <download_url></download_url>
      <url_name>pygressiongp</url_name>
      <user_count>0</user_count>
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      <analysis_id>581513</analysis_id>
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        <id>581513</id>
        <project_id>45190</project_id>
        <updated_at>2009-12-03T02:24:31Z</updated_at>
        <logged_at>2009-12-03T02:24:09Z</logged_at>
        <min_month>2008-06-01T00:00:00Z</min_month>
        <max_month>2008-06-01T00:00:00Z</max_month>
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        <license>
          <name>gpl3_or_later</name>
          <nice_name>GNU General Public License 3 or later</nice_name>
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