Intelligent decision support systems for sustainable computing : paradigms and applications

• Other Authors: Sangaiah, Arun Kumar, 1981- (Editor), Abraham, Ajith, 1968- (Editor), Siarry, Patrick, (Editor), Sheng, Quan Z., (Editor)
• Format: eBook
• Language: English
• Published: Cham, Switzerland : Springer, 2017.
• Series: Studies in computational intelligence ; v. 705.
• Subjects: Decision support systems.; Computational intelligence.; elektronické knihy; electronic books
• ISBN: 9783319531533; 9783319531526
• Physical Description: 1 online resource (xvi, 289 pages) : illustrations (some color)
• ISSN: 1860-949X
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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.