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Natureinspired Optimization Algorithms by Xin She Yang

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Source: The Open Library

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1Natureinspired Optimization Algorithms

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“Natureinspired Optimization Algorithms” Metadata:

  • Title: ➤  Natureinspired Optimization Algorithms
  • Author:
  • Publisher: ➤  Elsevier Science Publishing Co Inc
  • Publish Date:

“Natureinspired Optimization Algorithms” Subjects and Themes:

Edition Identifiers:

Access and General Info:

  • First Year Published: 2014
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

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2Nature-Inspired Optimization Algorithms

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Book's cover

“Nature-Inspired Optimization Algorithms” Metadata:

  • Title: ➤  Nature-Inspired Optimization Algorithms
  • Author:
  • Language: English
  • Number of Pages: Median: 304
  • Publisher: ➤  Elsevier Science & Technology Books - Elsevier
  • Publish Date:

“Nature-Inspired Optimization Algorithms” Subjects and Themes:

Edition Identifiers:

Access and General Info:

  • First Year Published: 2016
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

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3Nature-Inspired Algorithms and Applied Optimization

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“Nature-Inspired Algorithms and Applied Optimization” Metadata:

  • Title: ➤  Nature-Inspired Algorithms and Applied Optimization
  • Author:
  • Number of Pages: Median: 337
  • Publisher: Springer
  • Publish Date:

“Nature-Inspired Algorithms and Applied Optimization” Subjects and Themes:

Edition Identifiers:

Access and General Info:

  • First Year Published: 2017
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

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The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.

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    4Nature-Inspired Optimization Algorithms, Second Edition

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    “Nature-Inspired Optimization Algorithms, Second Edition” Metadata:

    • Title: ➤  Nature-Inspired Optimization Algorithms, Second Edition
    • Author:
    • Language: English
    • Publisher: Elsevier Science & Technology
    • Publish Date:

    “Nature-Inspired Optimization Algorithms, Second Edition” Subjects and Themes:

    Edition Identifiers:

    Access and General Info:

    • First Year Published: 2020
    • Is Full Text Available: No
    • Is The Book Public: No
    • Access Status: No_ebook

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