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Advances in Intelligent Modelling and Simulation

Artificial Intelligence-Based Models and Techniques in Scalable Computing

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  • © 2012

Overview

  • Latest research on Artificial Intelligence-based Models and Techniques in Scalable Computing
  • Recent Advances in Intelligent Modelling and Simulation
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 422)

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Table of contents (15 chapters)

  1. Future Generation Fuzzy Systems

  2. Parallel and Multiobjective Evo-Based Techniques and Architectures in Large-Scale Global Optimization

  3. Parallel and Multiobjective Evo-based Techniques and Architectures in Large-scale Global Optimization

  4. Nature-Inspired Solutions for Intelligent Networking

  5. Economic and Biological Approaches

  6. Economical and Biological Approaches

Keywords

About this book

One of the most challenging issues in today’s large-scale computational modeling and design is to effectively manage the complex distributed environments, such as computational clouds, grids, ad hoc, and P2P networks operating under  various  types of users with evolving relationships fraught with  uncertainties. In this context, the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. Moreover, uncertainties are presented to the system at hand in various forms of information that are incomplete, imprecise, fragmentary, or overloading, which hinders in the full and precise resolve of the evaluation criteria, subsequencing and selection, and the assignment scores. Intelligent scalable systems enable the flexible routing and charging, advanced user interactions and the aggregation and sharing of geographically-distributed resources in modern large-scale systems.

 

This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented.  All of those technologies have formed the foundation for the intelligent scalable computing that we know of today.  We believe that this book will serve as a reference for  students, researchers, and industry practitioners working  or  interested in joining interdisciplinary research in the areas of intelligent decision systems using emergentdistributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics.

 

This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented.  All of those technologies have formed the foundation for the intelligent scalable computing that we know of today.  We believe that this book will serve as a reference for  students, researchers, and industry practitioners working  or  interested in joining interdisciplinary research in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics.

Editors and Affiliations

  • Institute of Computer Science, Cracow University of Technology, Cracow, Poland

    Joanna Kołodziej

  • , Department of Electrical and Computer, North Dakota State University, Fargo, USA

    Samee Ullah Khan

  • Department of Computer Science, Cracow University of Technology, Cracow, Poland

    Tadeusz Burczy´nski

Bibliographic Information

  • Book Title: Advances in Intelligent Modelling and Simulation

  • Book Subtitle: Artificial Intelligence-Based Models and Techniques in Scalable Computing

  • Editors: Joanna Kołodziej, Samee Ullah Khan, Tadeusz Burczy´nski

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-30154-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2012

  • Hardcover ISBN: 978-3-642-30153-7Published: 12 July 2012

  • Softcover ISBN: 978-3-642-43261-3Published: 09 August 2014

  • eBook ISBN: 978-3-642-30154-4Published: 11 July 2012

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXIV, 384

  • Topics: Computational Intelligence, Artificial Intelligence

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