LEADER 01029nas a2200289 i 4500 001 991002682049707536 005 20231114120647.0 008 011205m19729999it || | |ita 022 $a0391-6588 035 $ab11693320-39ule_inst 035 $aPERLE005348$9ExL 080 $aCDU 007 080 $aCDU 658 080 $aCDU 681.3 229 0$aManagement e informatica 245 00$aManagement e informatica :$bMensile sull'elaborazione elettronica dei dati e i suoi sistemi informativi. - 1972- 260 $aMilano,$c1972- 500 $aDall'anno 1987 assorbe: Il Dirigente amministrativo. 591 $aCodice CNR: P 00020654 592 $aLE026 1972-1973; lac.: 1972-1973; 780 00$tCentri meccanografici ed elettronici 907 $a.b11693320$b21-09-06$c08-07-02 912 $a991002682049707536 945 $aLE026$g1$lle026$o-$pE0.00$q-$rn$s- $t18$u0$v0$w0$x0$y.i11924056$z08-07-02 996 $aManagement e informatica$9791839 997 $aUNISALENTO 998 $ale026$b01-01-01$cs$da $e-$fita$git $h0$i1 LEADER 02915nam 22006015 450 001 9910484863203321 005 20251113211657.0 010 $a3-030-04097-6 024 7 $a10.1007/978-3-030-04097-0 035 $a(CKB)4100000007204875 035 $a(MiAaPQ)EBC5614866 035 $a(DE-He213)978-3-030-04097-0 035 $z(PPN)258859156 035 $a(PPN)24376992X 035 $a(EXLCZ)994100000007204875 100 $a20181212d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMetaheuristics for Data Clustering and Image Segmentation /$fby Meera Ramadas, Ajith Abraham 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (167 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v152 311 08$a3-030-04096-8 327 $aIntroduction -- METAHEURISTICS AND DATA CLUSTERING -- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM -- SEARCH strategy Flower Pollination Algorithm with Differential Evolution. . 330 $aIn this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v152 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputer vision 606 $aAlgorithms 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aAlgorithms 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aAlgorithms. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aAlgorithms. 676 $a006.3019 700 $aRamadas$b Meera$4aut$4http://id.loc.gov/vocabulary/relators/aut$01225252 702 $aAbraham$b Ajith$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910484863203321 996 $aMetaheuristics for Data Clustering and Image Segmentation$92844870 997 $aUNINA