Intelligent Decision Support Systems for Sustainable Computing

Paradigms and Applications

  • Arun Kumar Sangaiah
  • Ajith Abraham
  • Patrick Siarry
  • Michael Sheng

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

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Arun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng
    Pages 1-6
  3. Konstantinos Kokkinos, Elpiniki Papageorgiou, Vassilios Dafopoulos, Ioannis Adritsos
    Pages 33-52
  4. Seyed Ali Miraftabzadeh, Paul Rad, Mo Jamshidi
    Pages 77-99
  5. Chitra Venugopal, Prabhakar Rontala Subramaniam
    Pages 115-138
  6. Chitra Venugopal, Prabhakar Rontala Subramaniam, Mathew Habyarimana
    Pages 165-177
  7. Leo Mršić, Robert Kopal, Goran Klepac
    Pages 207-224
  8. T. Padma, Shabir Ahmad Mir, S. P. Shantharajah
    Pages 225-245
  9. Back Matter
    Pages 287-289

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.


Applications of Sustainable Computing Computational Intelligence Sustainable Systems Energy Aware Simulations and Modeling Sustainable Hardware Platforms

Editors and affiliations

  • Arun Kumar Sangaiah
    • 1
  • Ajith Abraham
    • 2
  • Patrick Siarry
    • 3
  • Michael Sheng
    • 4
  1. 1.VIT University VelloreIndia
  2. 2.Sci N/w for Innova and Research ExcMachine Intelligence Research Labs Sci N/w for Innova and Research ExcAuburnUSA
  3. 3.Faculté des Sciences et TechnologieUniversité Paris-Est Créteil Val-de-Marn Faculté des Sciences et TechnologieCréteil CedexFrance
  4. 4.Faculty of Engig Computer & Math sciThe University of Adelaide Faculty of Engig Computer & Math sciAdelaideAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-53152-6
  • Online ISBN 978-3-319-53153-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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