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Foundations of Genetic Algorithms 2001 (FOGA 6)

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Title: Foundations of Genetic Algorithms 2001 (FOGA 6)
Description: Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. - Includes research from academia, government laboratories, and industry - Contains high calibre papers which have been extensively reviewed - Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field - Ideal for researchers in machine learning, specifically those involved with evolutionary computation
Authors: Worth Martin, William Spears, Worthy N. Martin
Resource Type: eBook.
Subjects: Genetic algorithms--Congresses
Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / Algorithms
Database: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: Foundations of Genetic Algorithms 2001 (FOGA 6)
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  Data: Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. - Includes research from academia, government laboratories, and industry - Contains high calibre papers which have been extensively reviewed - Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field - Ideal for researchers in machine learning, specifically those involved with evolutionary computation
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  Data: <searchLink fieldCode="AR" term="%22Worth+Martin%22">Worth Martin</searchLink><br /><searchLink fieldCode="AR" term="%22William+Spears%22">William Spears</searchLink><br /><searchLink fieldCode="AR" term="%22Worthy+N%2E+Martin%22">Worthy N. Martin</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Genetic+algorithms--Congresses%22">Genetic algorithms--Congresses</searchLink>
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      – Code: 006.3
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        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Genetic algorithms--Congresses
        Type: general
    Titles:
      – TitleFull: Foundations of Genetic Algorithms 2001 (FOGA 6)
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Worth Martin
      – PersonEntity:
          Name:
            NameFull: William Spears
      – PersonEntity:
          Name:
            NameFull: Worthy N. Martin
      – PersonEntity:
          Name:
            NameFull: Worth Martin
      – PersonEntity:
          Name:
            NameFull: William Spears
      – PersonEntity:
          Name:
            NameFull: Worthy N. Martin
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2001
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781558607347
            – Type: isbn-electronic
              Value: 9780080506876
          Numbering:
            – Type: volume
              Value: 00006
          Titles:
            – TitleFull: Foundations of Genetic Algorithms 2001 (FOGA 6)
              Type: main
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