Halavati ramin (3 risultati)

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    • Lingua: Inglese

      Editore: VDM Verlag Dr. Müller, 2010

      3639254449 / 9783639254440

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      Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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      Condizione: Usato - Come nuovo

      EUR 139,06

      EUR 29,10 spedizione 
      Spedito da Regno Unito a U.S.A.

      Quantità: 1 disponibili

      Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Lingua: Inglese

      Editore: VDM Verlag Dr. Müller, 2010

      3639254449 / 9783639254440

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      • Print on Demand

      Da: moluna, Greven, Germaniamoluna

      Venditore con 5 stelle
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      Condizione: Nuovo

      EUR 46,32

      EUR 48,99 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: Più di 20 disponibili

      Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Halavati RaminRamin Halavati, PhD: Studied Artificial Intelligence at Sharif University of Technology with major focus on Evolutionary Optimization, Pattern Recognition and Machine Learning. He is currently a lecturer at Sharif Unive.

    • Lingua: Inglese

      Editore: VDM Verlag Dr. Müller, 2010

      3639254449 / 9783639254440

      • Brossura
      • Print on Demand

      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

      Venditore con 5 stelle
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      Condizione: Nuovo

      EUR 84,63

      EUR 30,50 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: 2 disponibili

      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Evolutionary algorithms are a widespread theme in artificial intelligence. Inspired from Darwin s theory of evolution, these algorithms are based on small variations in the genetic code of a population of organisms along with survival of the fittest. While being a very successful approach, there are some problems that must be dealt with during the design stage of these algorithms such as genome design and building blocks management. To overcome these problems, this book proposes algorithms based on the rather newer theory of Symbiogenesis. This theory presents cooperation as the main force of evolution and knows the accumulation of random changes in genetic code of the organisms insufficient for the evolution of life. Along with the general idea of a Symbiogenetic Evolutionary Algorithm, implementations on different tasks including function optimization, data mining, and artificial immune systems are presented and it is shown that the new algorithm has an easy design stage and requires less run time in compare to the rival algorithms. The book is recommended to artificial intelligence practitioners working on evolutionary algorithms, data mining, optimization, and machine learning.