LEADER 03496nam 22005173 450 001 9910876891603321 005 20240626080231.0 010 $a1-394-24256-5 010 $a1-394-24255-7 035 $a(MiAaPQ)EBC31501322 035 $a(Au-PeEL)EBL31501322 035 $a(CKB)32338351700041 035 $a(OCoLC)1442731409 035 $a(OCoLC-P)1442731409 035 $a(CaSebORM)9781394242535 035 $a(EXLCZ)9932338351700041 100 $a20240626d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimized Computational Intelligence Driven Decision-Making $eTheory, Application and Challenges 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2024. 210 4$dİ2024. 215 $a1 online resource (360 pages) 225 1 $aIndustry 5. 0 Transformation Applications Series 311 $a1-394-24253-0 330 $aThis book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts. Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains. includes real-life case studies highlighting different advanced technologies in computational intelligence; provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics; reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain; offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges; presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics; includes architectural models and applications-based augmented solutions for optimized computational intelligence. Audience The book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence. 410 0$aIndustry 5. 0 Transformation Applications Series 606 $aComputational intelligence 615 0$aComputational intelligence. 676 $a006.3 700 $aTripathy$b Hrudaya Kumar$01757303 701 $aMishra$b Sushruta$01757304 701 $aRout$b Minakhi$01757305 701 $aBalamurugan$b S$01751055 701 $aMishra$b Samaresh$01757306 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910876891603321 996 $aOptimized Computational Intelligence Driven Decision-Making$94195123 997 $aUNINA