000 02703nam a22003137a 4500
003 OSt
005 20250618163813.0
008 250618b |||||||| |||| 00| 0 eng d
020 _a9783319531526
_q(hardcover)
040 _beng
_cDLC
_dDLC
_erda
_aSai University Library
082 _223
_a658.403
_bSAN
245 0 0 _aIntelligent decision support systems for sustainable computing :
_bparadigms and applications /
_cArun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng, editors.
260 _aCham, Switzerland :
_bSpringer,
_c2017
264 1 _aCham, Switzerland :
_bSpringer,
_c©2017
300 _axvi, 289 pages :
_billustrations (some color)
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
490 _aStudies in computational intelligence
_vvolume 705
_x1860-949X ;
520 _aThis unique book discusses 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.
650 _aDecision support systems
650 0 _aComputational intelligence
700 0 _aSangaiah, Arun Kumar
_eeditor
700 0 _aAbraham, Ajith
_eeditor
700 0 _aSiarry, Patrick
_eeditor
700 0 _aSheng, Michael
_eeditor
830 _aStudies in computational intelligence ;
_vv. 705.
_x1860-949X
942 _2ddc
_cBK
999 _c6787
_d6787