Intelligent decision support systems for sustainable computing : paradigms and applications / Arun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng, editors.
Sangaiah, Arun Kumar, 1981- editor.; Abraham, Ajith, 1968- editor.; Siarry, Patrick, editor.; Sheng, Michael, editor.
2017
T58.62
Available Online

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Title
Intelligent decision support systems for sustainable computing : paradigms and applications / Arun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng, editors.
ISBN
9783319531533 (electronic book)
3319531530 (electronic book)
9783319531526
3319531522
DOI
https://doi.org/10.1007/978-3-319-53153-3
Published
Cham, Switzerland : Springer, 2017.
Language
English
Description
1 online resource (xvi, 289 pages) : illustrations.
Item Number
10.1007/978-3-319-53153-3 doi
Call Number
T58.62
Dewey Decimal Classification
658.4/03
Summary
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.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 24, 2017).
Added Author
Sangaiah, Arun Kumar, 1981- editor.
Abraham, Ajith, 1968- editor.
Siarry, Patrick, editor.
Sheng, Michael, editor.
Series
Studies in computational intelligence ; v. 705.
Available in Other Form
Print version: 9783319531526
Linked Resources
Online Access
Record Appears in
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