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001434508 001__ 1434508
001434508 003__ OCoLC
001434508 005__ 20230309003733.0
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001434508 019__ $$a1232411277$$a1235597353$$a1239686039$$a1241066208
001434508 020__ $$a9783030593926$$q(electronic bk.)
001434508 020__ $$a3030593924$$q(electronic bk.)
001434508 020__ $$z9783030593919
001434508 020__ $$z3030593916
001434508 0247_ $$a10.1007/978-3-030-59392-6$$2doi
001434508 035__ $$aSP(OCoLC)1239998616
001434508 040__ $$aSFB$$beng$$erda$$epn$$cSFB$$dGW5XE$$dYDX$$dUKBTH$$dEBLCP$$dOCLCO$$dDKU$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001434508 049__ $$aISEA
001434508 050_4 $$aTA658.2
001434508 08204 $$a624.1/7015118$$223
001434508 1001_ $$aKaveh, A.$$q(Ali),$$d1948-$$eauthor.
001434508 24510 $$aAdvances in metaheuristic algorithms for optimal design of structures /$$cAli Kaveh.
001434508 250__ $$aThird edition.
001434508 264_1 $$aCham :$$bSpringer,$$c[2021]
001434508 300__ $$a1 online resource (xix, 881 pages) :$$billustrations (some color)
001434508 336__ $$atext$$btxt$$2rdacontent
001434508 337__ $$acomputer$$bc$$2rdamedia
001434508 338__ $$aonline resource$$bcr$$2rdacarrier
001434508 347__ $$atext file
001434508 347__ $$bPDF
001434508 504__ $$aIncludes bibliographical references and index.
001434508 5050_ $$aFrom the content: Particle Swarm Optimization -- Charged System Search Algorithm -- Magnetic Charged System Search -- Field of Forces Optimization.
001434508 506__ $$aAccess limited to authorized users.
001434508 520__ $$aThis book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Democratic Particle Swarm Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which are developed by other authors and have been successfully applied to various optimization problems. These consist of Partical Swarm Optimization, Big Band Big Crunch algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems based on the Charged System Search algorithm, In the second edition seven new chapters are added consisting of Enhance colliding bodies optimization, Global sensitivity analysis, Tug of War Optimization, Water evaporation optimization, Vibrating System Optimization and Cyclical Parthenogenesis Optimization algorithm. In the third edition, five new chapters are included consisting of the recently developed algorithms. These are Shuffled Shepherd Optimization Algorithm, Set Theoretical Shuffled Shepherd Optimization Algorithm, Set Theoretical Teaching-Learning-Based Optimization Algorithm, Thermal Exchange Metaheuristic Optimization Algorithm, and Water Strider Optimization Algorithm and Its Enhancement. The concepts and algorithm presented in this book are not only applicable to optimization of skeletal structure, finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.
001434508 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 11, 2021).
001434508 650_0 $$aStructural design$$xMathematical models.
001434508 650_0 $$aStructural design$$xData processing.
001434508 650_0 $$aComputational intelligence.
001434508 650_0 $$aMechanical engineering.
001434508 650_0 $$aStatics.
001434508 650_0 $$aMathematical optimization.
001434508 650_0 $$aArtificial intelligence.
001434508 650_6 $$aConstructions$$xCalcul$$xModèles mathématiques.
001434508 650_6 $$aIntelligence informatique.
001434508 650_6 $$aGénie mécanique.
001434508 650_6 $$aStatique.
001434508 650_6 $$aOptimisation mathématique.
001434508 650_6 $$aIntelligence artificielle.
001434508 655_0 $$aElectronic books.
001434508 77608 $$z3030593916
001434508 852__ $$bebk
001434508 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-59392-6$$zOnline Access$$91397441.1
001434508 909CO $$ooai:library.usi.edu:1434508$$pGLOBAL_SET
001434508 980__ $$aBIB
001434508 980__ $$aEBOOK
001434508 982__ $$aEbook
001434508 983__ $$aOnline
001434508 994__ $$a92$$bISE