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Intelligent Decision Support Systems for Sustainable Computing

Paradigms and Applications

  • Book
  • © 2017

Overview

  • Presents the latest research, innovative ideas, challenges, and computational intelligence solutions in sustainable computing
  • Places strong emphasis on real-world applications
  • Includes novel, in-depth fundamental research contributions to achieving a sustainable life style for society either from a methodological or from an application perspective in accomplishing
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 705)

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Table of contents (14 chapters)

Keywords

About this book

This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective.

Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms.

The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be exploited to create effectual computing systems, and addresses sustainability problems in computing and information processing environments and technologies at the different levels of CI paradigms.

An excellent guide to surveying the state of the art in computational intelligence applied to challenging real-world problems in sustainable computing, it is intended for scientists, practitioners, researchers and academicians dealing with the new challenges and advances in area.

Editors and Affiliations

  • VIT University , Vellore, India

    Arun Kumar Sangaiah

  • Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs Sci N/w for Innova and Research Exc, Auburn, USA

    Ajith Abraham

  • Faculté des Sciences et Technologie, Université Paris-Est Créteil Val-de-Marn Faculté des Sciences et Technologie, Créteil Cedex, France

    Patrick Siarry

  • Faculty of Engig Computer & Math sci, The University of Adelaide Faculty of Engig Computer & Math sci, Adelaide, Australia

    Michael Sheng

Bibliographic Information

  • Book Title: Intelligent Decision Support Systems for Sustainable Computing

  • Book Subtitle: Paradigms and Applications

  • Editors: Arun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-53153-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-53152-6Published: 23 March 2017

  • Softcover ISBN: 978-3-319-85078-8Published: 21 July 2018

  • eBook ISBN: 978-3-319-53153-3Published: 14 March 2017

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVI, 289

  • Number of Illustrations: 22 b/w illustrations, 86 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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