LEADER 01121nam0-2200373---450- 001 990000825970203316 005 20090713094337.0 010 $a88-13-18955-9 035 $a0082597 035 $aUSA010082597 035 $a(ALEPH)000082597USA01 035 $a0082597 100 $a20020102d1994----km-y0ITAy01------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aPrescrizioni e decadenze civili$emassimate della Cassazione$fa cura di V. Gallotta 210 $aPadova$cCEDAM$d1994 215 $aXVII, 509 p.$d24 cm 606 $aPrescrizione$xMassimari 606 $aDecadenza $xMassimari 676 $a346.45043202643 702 1$aGALLOTTA,$bVito 801 0$aIT$bsalbc$gISBD 912 $a990000825970203316 951 00$aXXV.1.C 75 (IG I 1184)$b5029 G$cXXV.1.C 75 (IG I)$d00236854 959 $aBK 969 $aGIU 979 $aPATTY$b90$c20020102$lUSA01$h1010 979 $c20020403$lUSA01$h1728 979 $aPATRY$b90$c20040406$lUSA01$h1657 979 $aRSIAV2$b90$c20090713$lUSA01$h0943 996 $aPRESCRIZIONI e decadenze civili$9665470 997 $aUNISA LEADER 03403nam 22005535 450 001 9910999692503321 005 20250424124704.0 010 $a3-031-78440-5 024 7 $a10.1007/978-3-031-78440-8 035 $a(CKB)38586728900041 035 $a(DE-He213)978-3-031-78440-8 035 $a(MiAaPQ)EBC32028973 035 $a(Au-PeEL)EBL32028973 035 $a(EXLCZ)9938586728900041 100 $a20250424d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions /$fedited by Diego Oliva, Arturo Valdivia, Seyed Jalaleddin Mousavirad, Kanak Kalita 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XI, 806 p. 289 illus., 233 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v806 311 08$a3-031-78439-1 327 $aMetaheuristics theory and applications -- Machine learning -- Engineering applications. 330 $aThis book is an authoritative compilation of the latest advancements in optimization techniques. This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches. The chapters are meticulously selected and organized in three sections?metaheuristics, machine learning and engineering applications. This allows for an in-depth exploration of diverse topics ranging from image processing to feature selection to data clustering, to practical applications like energy optimization, smart grids, healthcare diagnostics, etc. Each chapter delves into the specific algorithms and applications as well as provides ample theoretical insights. Accordingly, this book is ideally suited for undergraduate and postgraduate students in fields such as science, engineering and computational mathematics. It is also an invaluable resource for courses on artificial intelligence, computational intelligence, etc. Researchers and professionals in evolutionary computation, artificial intelligence and engineering will find the material especially useful for advancing their work and exploring new frontiers in optimization. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v806 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aOliva$b Diego$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aValdivia$b Arturo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMousavirad$b Seyed Jalaleddin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKalita$b Kanak$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910999692503321 996 $aAdvances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions$94375955 997 $aUNINA