LEADER 03298nam 22005415 450 001 9910731456003321 005 20230615175119.0 010 $a3-031-34728-5 024 7 $a10.1007/978-3-031-34728-3 035 $a(MiAaPQ)EBC30601957 035 $a(Au-PeEL)EBL30601957 035 $a(DE-He213)978-3-031-34728-3 035 $a(PPN)27226492X 035 $a(CKB)27060215300041 035 $a(EXLCZ)9927060215300041 100 $a20230615d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHybrid Metaheuristics in Structural Engineering $eIncluding Machine Learning Applications /$fedited by Gebrail Bekda?, Sinan Melih Nigdeli 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (306 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v480 311 08$aPrint version: Bekda?, Gebrail Hybrid Metaheuristics in Structural Engineering Cham : Springer,c2023 9783031347276 327 $aIntroduction and Overview: Hybrid Metaheuristics in Structural Engineering - Including Machine Learning Applications -- The Development of Hybrid Metaheuristics in Structural Engineering -- Optimum Design of Reinforced Concrete Columns in Case of Fire -- Hybrid Social Network Search and Material Generation Algorithm for Shape and Size Optimization of Truss Structures -- Development of a Hybrid Algorithm for Optimum Design of a Large-Scale Truss Structure. 330 $aFrom the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering. . 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v480 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aBekda?$b Gebrail$01369349 701 $aNigdeli$b Sinan Melih$01369350 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910731456003321 996 $aHybrid Metaheuristics in Structural Engineering$93395521 997 $aUNINA