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Hybrid Metaheuristics in Structural Engineering

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Hybrid Metaheuristics in Structural Engineering
Περιγραφή: From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering.
Συγγραφείς: Gebrail Bekdaş, Sinan Melih Nigdeli
Resource Type: eBook.
Θέματα: Artificial intelligence--Engineering applications, Structural engineering--Data processing, Metaheuristics
Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General)
Βάση Δεδομένων: eBook Index
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  Availability: 0
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  Data: From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering.
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      – Code: 624.1
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Artificial intelligence--Engineering applications
        Type: general
      – SubjectFull: Structural engineering--Data processing
        Type: general
      – SubjectFull: Metaheuristics
        Type: general
    Titles:
      – TitleFull: Hybrid Metaheuristics in Structural Engineering
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Gebrail Bekdaş
      – PersonEntity:
          Name:
            NameFull: Sinan Melih Nigdeli
      – PersonEntity:
          Name:
            NameFull: Gebrail Bekdaş
      – PersonEntity:
          Name:
            NameFull: Sinan Melih Nigdeli
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 16
              M: 06
              Type: profile
              Y: 2023
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              Value: 9783031347276
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              Value: 9783031347283
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            – Type: volume
              Value: 00480
          Titles:
            – TitleFull: Hybrid Metaheuristics in Structural Engineering
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