eBook
Προβολή σε EDS

Intelligent Energy Systems Using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm : Foundations, Methods, and Applications

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Intelligent Energy Systems Using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm : Foundations, Methods, and Applications
Περιγραφή: Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. This book provides a multidisciplinary foundation for the reader, with Part I breaking down fundamentals including the challenges to be addressed in renewable energy systems and detailed methodologies including swarm-, physics-, and human-based algorithms, before introducing the Barnacles Mating Optimizer and Evolutionary Mating Algorithm themselves. Part II drills deeper into examples, case studies, and applications for energy systems, offering comparative analysis with alternative tools, and providing complimentary MATLAB code using the latest Toolbox. A sandbox for readers to learn, skill-build, and develop in,'Intelligent Energy Systems using BMO and EMA'provides an indispensable guide to these cutting-edge AI tools for new and experienced readers. - Builds step-by-step from foundational principles to complex applications in sustainable energy systems - Includes case studies, tools, and complimentary MATLAB code to try out, rework, and apply to new problems - Guides readers through these innovative methods, as part of the ground-breaking Advances in Intelligent Energy Systems
Συγγραφείς: Mohd Herwan Sulaiman, Zuriani Mustaffa
Resource Type: eBook.
Θέματα: Electric power systems--Data processing, Computer algorithms, Evolutionary computation, Mathematical optimization--Data processing
Categories: TECHNOLOGY & ENGINEERING / Power Resources / Electrical
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4361797
RelevancyScore: 981
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 981.043701171875
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Intelligent Energy Systems Using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm : Foundations, Methods, and Applications
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. This book provides a multidisciplinary foundation for the reader, with Part I breaking down fundamentals including the challenges to be addressed in renewable energy systems and detailed methodologies including swarm-, physics-, and human-based algorithms, before introducing the Barnacles Mating Optimizer and Evolutionary Mating Algorithm themselves. Part II drills deeper into examples, case studies, and applications for energy systems, offering comparative analysis with alternative tools, and providing complimentary MATLAB code using the latest Toolbox. A sandbox for readers to learn, skill-build, and develop in,'Intelligent Energy Systems using BMO and EMA'provides an indispensable guide to these cutting-edge AI tools for new and experienced readers. - Builds step-by-step from foundational principles to complex applications in sustainable energy systems - Includes case studies, tools, and complimentary MATLAB code to try out, rework, and apply to new problems - Guides readers through these innovative methods, as part of the ground-breaking Advances in Intelligent Energy Systems
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Mohd+Herwan+Sulaiman%22">Mohd Herwan Sulaiman</searchLink><br /><searchLink fieldCode="AR" term="%22Zuriani+Mustaffa%22">Zuriani Mustaffa</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Electric+power+systems--Data+processing%22">Electric power systems--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+algorithms%22">Computer algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Evolutionary+computation%22">Evolutionary computation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization--Data+processing%22">Mathematical optimization--Data processing</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Power+Resources+%2F+Electrical%22">TECHNOLOGY & ENGINEERING / Power Resources / Electrical</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4361797
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 621.31
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Electric power systems--Data processing
        Type: general
      – SubjectFull: Computer algorithms
        Type: general
      – SubjectFull: Evolutionary computation
        Type: general
      – SubjectFull: Mathematical optimization--Data processing
        Type: general
    Titles:
      – TitleFull: Intelligent Energy Systems Using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm : Foundations, Methods, and Applications
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mohd Herwan Sulaiman
      – PersonEntity:
          Name:
            NameFull: Zuriani Mustaffa
      – PersonEntity:
          Name:
            NameFull: Mohd Herwan Sulaiman
      – PersonEntity:
          Name:
            NameFull: Zuriani Mustaffa
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
            – D: 21
              M: 11
              Type: profile
              Y: 2025
          Identifiers:
            – Type: isbn-print
              Value: 9780443337758
            – Type: isbn-electronic
              Value: 9780443337765
          Titles:
            – TitleFull: Intelligent Energy Systems Using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm : Foundations, Methods, and Applications
              Type: main
ResultId 1