LEADER 00963nam0-2200301---450- 001 990009808470403321 005 20140115091804.0 010 $a978-88-548-5024-8 035 $a000980847 035 $aFED01000980847 035 $a(Aleph)000980847FED01 035 $a000980847 100 $a20140115d2012----km-y0itay50------ba 101 0 $aita 105 $a--------001yy 200 1 $aImprese e reti per lo sviluppo imprenditoriale del territorio$eteoria e casi di destination management$fa cura di Valentina della Corte, Marcantonio Ruisi 210 $aRoma$cAracne$d2012 215 $a213 p.$d21 cm 225 1 $aQuaderni di ricerca economico-aziendale$v3 676 $a338 702 1$aDella Corte,$bValentina 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009808470403321 952 $aAZTUR15A$b21314$fDECBC 959 $aDECBC 996 $aImprese e reti per lo sviluppo imprenditoriale del territorio$9265590 997 $aUNINA LEADER 03318nam 22005415 450 001 9910806193003321 005 20250807150241.0 010 $a3-031-48918-7 024 7 $a10.1007/978-3-031-48918-1 035 $a(MiAaPQ)EBC31096155 035 $a(Au-PeEL)EBL31096155 035 $a(DE-He213)978-3-031-48918-1 035 $a(CKB)30156896500041 035 $a(EXLCZ)9930156896500041 100 $a20240129d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChaotic Meta-heuristic Algorithms for Optimal Design of Structures /$fby Ali Kaveh, Hossein Yousefpoor 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (349 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1129 311 08$aPrint version: Kaveh, Ali Chaotic Meta-Heuristic Algorithms for Optimal Design of Structures Cham : Springer International Publishing AG,c2024 9783031489174 320 $aIncludes bibliographical references. 327 $aIntroduction -- Chaotic Maps and Meta-Heuristic Algorithms -- Chaotic Cyclical Parthenogenesis Algorithm -- Chaotic Teaching Learning-Based Optimization -- Chaotic Biogeography Based Optimization -- Chaotic Differential Evolution -- Chaotic Water Evaporation Optimization -- Chaotic Artificial Bees Colony -- Chaotic Imperialist Competitive Algorithm. 330 $aIn this book, various chaos maps are embedded in eleven efficient and well-known metaheuristics and a significant improvement in the optimization results is achieved. The two basic steps of metaheuristic algorithms consist of exploration and exploitation. The imbalance between these stages causes serious problems for metaheuristic algorithms, which are immature convergence and stopping in local optima. Chaos maps with chaotic jumps can save algorithms from being trapped in local optima and lead to convergence toward global optima. Embedding these maps in the exploration phase, exploitation phase, or both simultaneously corresponds to three efficient and useful scenarios. By creating competition between different modes and increasing diversity in the search space and creating sudden jumps in the search phase, improvements are achieved for chaotic algorithms. Four Chaotic Algorithms, including Chaotic Cyclical Parthenogenesis Algorithm, Chaotic Water Evaporation Optimization, Chaotic Tug-of-War Optimization, and Chaotic Thermal Exchange Optimization are developed. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1129 606 $aComputational intelligence 606 $aMathematical optimization 606 $aComputational Intelligence 606 $aOptimization 615 0$aComputational intelligence. 615 0$aMathematical optimization. 615 14$aComputational Intelligence. 615 24$aOptimization. 676 $a003.857 700 $aKaveh$b A$g(Ali),$f1948-$01596023 702 $aYousefpoor$b Hossein 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910806193003321 996 $aChaotic Meta-heuristic Algorithms for Optimal Design of Structures$94407080 997 $aUNINA