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Network-based Distributed Planning Using Coevolutionary Algorithms

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Title: Network-based Distributed Planning Using Coevolutionary Algorithms
Description: In this book, efficient and scalable coevolutionary algorithms for distributed, network-based decision-making, which utilize objective functions are developed in a networked environment where internode communications are a primary factor in system performance.A theoretical foundation for this class of coevolutionary algorithms is introduced using techniques from stochastic process theory and mathematical analysis.A case study in distributed, network-based decision-making presents an implementation and detailed evaluation of the coevolutionary decision-making framework that incorporates distributed evolutionary agents and mobile agents.The methodology discussed in this book can have a fundamental impact on the principles and practice of engineering in the distributed, network-based environment that is emerging within and among corporate enterprise systems. In addition, the conceptual framework of the approach to distributed decision systems described may have much wider implications for network-based systems and applications.
Authors: Arthur C Sanderson, Raj Subbu
Resource Type: eBook.
Subjects: Electronic data processing--Distributed processing, Algorithms, Intelligent agents (Computer software)
Categories: COMPUTERS / Networking / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / Algorithms
Database: eBook Collection (EBSCOhost)
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 235590
RelevancyScore: 992
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 991.891296386719
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  Data: Network-based Distributed Planning Using Coevolutionary Algorithms
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  Data: In this book, efficient and scalable coevolutionary algorithms for distributed, network-based decision-making, which utilize objective functions are developed in a networked environment where internode communications are a primary factor in system performance.A theoretical foundation for this class of coevolutionary algorithms is introduced using techniques from stochastic process theory and mathematical analysis.A case study in distributed, network-based decision-making presents an implementation and detailed evaluation of the coevolutionary decision-making framework that incorporates distributed evolutionary agents and mobile agents.The methodology discussed in this book can have a fundamental impact on the principles and practice of engineering in the distributed, network-based environment that is emerging within and among corporate enterprise systems. In addition, the conceptual framework of the approach to distributed decision systems described may have much wider implications for network-based systems and applications.
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  Data: <searchLink fieldCode="DE" term="%22Electronic+data+processing--Distributed+processing%22">Electronic data processing--Distributed processing</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+agents+%28Computer+software%29%22">Intelligent agents (Computer software)</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 005.276
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Electronic data processing--Distributed processing
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Intelligent agents (Computer software)
        Type: general
    Titles:
      – TitleFull: Network-based Distributed Planning Using Coevolutionary Algorithms
        Type: main
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    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Arthur C Sanderson
      – PersonEntity:
          Name:
            NameFull: Raj Subbu
      – PersonEntity:
          Name:
            NameFull: Arthur C Sanderson
      – PersonEntity:
          Name:
            NameFull: Raj Subbu
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2004
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9789812387547
            – Type: isbn-electronic
              Value: 9789812794857
          Numbering:
            – Type: volume
              Value: 00013
          Titles:
            – TitleFull: Network-based Distributed Planning Using Coevolutionary Algorithms
              Type: main
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