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    Gene Expression Programming

Gene Expression Programming

Candida Ferreira
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      FORMAT: Hardback

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      This book describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. It provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book includes a self-contained introduction to this new exciting field of computational intelligence. This second edition has been revised and extended with five new chapters.
      Format: Hardback CONTRIBUTORS: Candida Ferreira EAN: 9783540327967 COUNTRY: Germany PAGES: WEIGHT: 1940 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2006-05-24 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, SCIENCE / Life Sciences / Anatomy & Physiology, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Computational biology / bioinformatics, Maths for engineers, Mathematical theory of computation, Artificial intelligence

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      This book describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. It provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book includes a self-contained introduction to this new exciting field of computational intelligence. This second edition has been revised and extended with five new chapters.
      Format: Hardback CONTRIBUTORS: Candida Ferreira EAN: 9783540327967 COUNTRY: Germany PAGES: WEIGHT: 1940 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2006-05-24 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, SCIENCE / Life Sciences / Anatomy & Physiology, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Computational biology / bioinformatics, Maths for engineers, Mathematical theory of computation, Artificial intelligence

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