LEADER 07222nam 22008415 450 001 9910254187203321 005 20200630083216.0 010 $a3-319-26245-9 024 7 $a10.1007/978-3-319-26245-1 035 $a(CKB)3780000000094074 035 $a(EBL)4189347 035 $a(SSID)ssj0001597518 035 $a(PQKBManifestationID)16297106 035 $a(PQKBTitleCode)TC0001597518 035 $a(PQKBWorkID)14885530 035 $a(PQKB)11585114 035 $a(DE-He213)978-3-319-26245-1 035 $a(MiAaPQ)EBC4189347 035 $a(PPN)190883642 035 $a(EXLCZ)993780000000094074 100 $a20151210d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMetaheuristics and Optimization in Civil Engineering$b[electronic resource] /$fedited by Xin-She Yang, Gebrail Bekda?, Sinan Melih Nigdeli 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (309 p.) 225 1 $aModeling and Optimization in Science and Technologies,$x2196-7326 ;$v7 300 $aDescription based upon print version of record. 311 $a3-319-26243-2 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntro; Preface; Contents; Contributors; 1 Review and Applications of Metaheuristic Algorithms in Civil Engineering; 2 Application of the Flower Pollination Algorithm in Structural Engineering; 3 Use of Swarm Intelligence in Structural Steel Design Optimization; 4 Metaheuristic Optimization in Structural Engineering; 5 Performance-Based Optimum Seismic Design of Steel Dual Braced Frames by Bat Algorithm; 6 Genetic Algorithms for Optimization of 3D Truss Structures; 7 Hybrid Meta-heuristic Application in the Asphalt Pavement Management System 327 $a8 Optimum Reinforced Concrete Design by Harmony Search Algorithm9 Reactive Power Optimization in Wind Power Plants Using Cuckoo Search Algorithm; 10 A DSS-Based Honeybee Mating Optimization (HBMO) Algorithm for Single- and Multi-objective Design of Water Distribution Networks; 11 Application of the Simulated Annealing Algorithm for Transport Infrastructure Planning; 12 A Hybrid Bat Algorithm with Path Relinking for the Capacitated Vehicle Routing Problem; 13 Hybrid Metaheuristic Algorithms in Geotechnical Engineering; Abstract; 1 Introduction; 2 Metaheuristic Algorithms 327 $a3 Optimum Design Examples4 Conclusion; References; Abstract; 1 Introduction; 2 Flower Pollination Algorithm; 3 Numerical Examples; 4 Conclusion; References; Abstract; 1 Introduction; 2 Discrete Optimum Design of Steel Space Frames to LRFD-AISC; 3 Swarm Intelligence-Based Metaheuristic Optimization Algorithms; 4 Design Examples; 5 Summary and Conclusions; References; Abstract; 1 Introduction; 2 Formulation of Optimum Design Problem; 3 Self-Adaptive Harmony Search Algorithm (SAHS); 4 Teaching--Learning-Based Optimization; 5 Design Examples; 6 Conclusions; References; Abstract; 1 Introduction 327 $a2 Performance-Based Optimum Seismic Design3 Meta-Heuristic Algorithms; 4 Numerical Results; 5 Conclusions; References; Abstract; 1 Introduction; 2 Mathematical Formulations of Optimization Problems; 3 Genetic Algorithms; 4 Strategies Based on the Adaptive Concept; 5 Innovative Approaches in Genetic Algorithms; 6 Examples; 7 Conclusion; References; Abstract; 1 Introduction; 2 Pavement Condition Index (PCI); 3 Data Collection; 4 Empirical Method; 5 Problem Definitions; 6 PSO Arranger; 7 GA Arranger; 8 Hybrid PSO and GA Arrangers; 9 Results and Discussion; 10 Conclusions; References; Abstract 327 $a1 Introduction2 Harmony Search Algorithm; 3 Optimum Design Examples; 4 Conclusion; References; Abstract; 1 Introduction and Literature Survey; 2 Wind Power Plant System; 3 Problem Formulation; 4 Step-by-Step Procedure for ORPD Using CSA for a 41-Bus Wind Power Plant System; 5 Simulation Results and Discussion; 6 Conclusion; References; Abstract; 1 Introduction; 2 Main DSS Planning Goal: Dynamic Design of Water Distribution Networks; 3 The Optimization Problem; 4 Mathematical Statement of the Optimization Problem; 5 Single-/Multi-objective HBMO Algorithm; 6 DSS Application; 7 Conclusion 327 $aReferences 330 $aThis timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization problems in civil engineering. The first chapter offers a concise overview of different kinds of metaheuristic algorithms, explaining their advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for further reading. The remaining chapters report on advanced studies on the applications of certain metaheuristic algorithms to specific engineering problems. Genetic algorithm, bat algorithm, cuckoo search, harmony search and simulated annealing are just some of the methods presented and discussed step by step in real-application contexts, in which they are often used in combination with each other. Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering. It is also a valuable aid for both lectures and advanced engineering students. 410 0$aModeling and Optimization in Science and Technologies,$x2196-7326 ;$v7 606 $aCivil engineering 606 $aComputational intelligence 606 $aMechanics 606 $aMechanics, Applied 606 $aOperations research 606 $aDecision making 606 $aCivil Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T23004 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aTheoretical and Applied Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15001 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 615 0$aCivil engineering. 615 0$aComputational intelligence. 615 0$aMechanics. 615 0$aMechanics, Applied. 615 0$aOperations research. 615 0$aDecision making. 615 14$aCivil Engineering. 615 24$aComputational Intelligence. 615 24$aTheoretical and Applied Mechanics. 615 24$aOperations Research/Decision Theory. 676 $a624 702 $aYang$b Xin-She$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBekda?$b Gebrail$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNigdeli$b Sinan Melih$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254187203321 996 $aMetaheuristics and Optimization in Civil Engineering$91547250 997 $aUNINA