LEADER 03798nam 22006735 450 001 9910299722103321 005 20251113184425.0 010 $a3-319-05549-6 024 7 $a10.1007/978-3-319-05549-7 035 $a(CKB)3710000000105753 035 $a(EBL)1731059 035 $a(OCoLC)884013961 035 $a(SSID)ssj0001204788 035 $a(PQKBManifestationID)11805695 035 $a(PQKBTitleCode)TC0001204788 035 $a(PQKBWorkID)11180348 035 $a(PQKB)11575290 035 $a(MiAaPQ)EBC1731059 035 $a(DE-He213)978-3-319-05549-7 035 $a(PPN)178318086 035 $a(EXLCZ)993710000000105753 100 $a20140428d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Metaheuristic Algorithms for Optimal Design of Structures /$fby A. Kaveh 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (433 p.) 300 $aDescription based upon print version of record. 311 08$a3-319-05548-8 320 $aIncludes bibliographical references. 327 $aIntroduction -- Historical background -- Formulation of the optimal design of structures -- Charged system search -- Magnetic charged system search -- Field of forces optimization -- Dolphin echolocation optimization -- Ray optimization -- Harmony search -- Big bang-big crunch -- Cuckoo search optimization -- Cuckoo search method -- Imperialist competitive algorithm -- Hybrid optimization algorithms -- Use of chaotic theory in optimization -- Multi-objective optimization -- Applications of meta-heuristics. 330 $aThis book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm. The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finiteelement models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.  . 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aMathematical optimization 606 $aMechanical engineering 606 $aMathematical and Computational Engineering Applications 606 $aOptimization 606 $aMechanical Engineering 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 0$aMathematical optimization. 615 0$aMechanical engineering. 615 14$aMathematical and Computational Engineering Applications. 615 24$aOptimization. 615 24$aMechanical Engineering. 676 $a519 676 $a519.6 676 $a620 676 $a621 700 $aKaveh$b A$g(Ali),$f1948-$4aut$4http://id.loc.gov/vocabulary/relators/aut$01596023 906 $aBOOK 912 $a9910299722103321 996 $aAdvances in Metaheuristic Algorithms for Optimal Design of Structures$94407209 997 $aUNINA