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010   $a3-319-05549-6
024 7 $a10.1007/978-3-319-05549-7
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035   $a(OCoLC)884013961
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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   $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 finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.  .
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aMathematical optimization
606   $aMechanical engineering
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008
606   $aMechanical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T17004
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aMathematical optimization.
615  0$aMechanical engineering.
615 14$aMathematical and Computational Engineering.
615 24$aOptimization.
615 24$aMechanical Engineering.
676   $a519
676   $a519.6
676   $a620
676   $a621
700   $aKaveh$b A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0556911
906   $aBOOK
912   $a9910299722103321
996   $aAdvances in Metaheuristic Algorithms for Optimal Design of Structures$92126463
997   $aUNINA