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Advances in Metaheuristic Algorithms for Optimal Design of Structures

Kataloginformation Katalogdatensatz500187359 .

Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
ISBN	978-3-319-05548-0
Name	Kaveh, A.
T I T E L	Advances in Metaheuristic Algorithms for Optimal Design of Structures
Verlagsort	Cham
Verlag	Springer International Publishing
Erscheinungsjahr	2014
Erscheinungsjahr	2014
Umfang	Online-Ressource (XII, 426 p. 196 illus., 97 illus. in color, online resource)
Reihe	SpringerLink. Bücher
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	Preface; Contents; Chapter 1: Introduction; 1.1 Metaheuristic Algorithms for Optimization; 1.2 Optimal Design of Structures and Goals of the Present Book; 1.3 Organization of the Present Book; References; Chapter 2: Particle Swarm Optimization; 2.1 Introduction; 2.2 PSO Algorithm; 2.2.1 Development; 2.2.2 PSO Algorithm; 2.2.3 Parameters; 2.2.4 Premature Convergence; 2.2.5 Topology; 2.2.6 Biases; 2.3 Hybrid Algorithms; 2.4 Discrete PSO; 2.5 Democratic PSO for Structural Optimization; 2.5.1 Description of the Democratic PSO; 2.5.2 Truss Layout and Size Optimization with Frequency Constraints. 2.5.3 Numerical Examples2.5.3.1 A 10-bar Truss; 2.5.3.2 A Simply Supported 37-Bar Planar Truss; 2.5.3.3 A 52-Bar Dome-Like Truss; 2.5.3.4 A 120-Bar Dome Truss; References; Chapter 3: Charged System Search Algorithm; 3.1 Introduction; 3.2 Charged System Search; 3.2.1 Background; 3.2.1.1 Electrical Laws; 3.2.1.2 Newtonian Mechanics Laws; 3.2.2 Presentation of Charged Search System; 3.3 Validation of CSS; 3.3.1 Description of the Examples; 3.3.2 Results; 3.4 Charged System Search for Structural Optimization; 3.4.1 Statement of the Optimization Design Problem. 3.4.1.1 Constraint Conditions for Truss Structures3.4.1.2 Constraint Conditions for Frame Structures; 3.4.1.3 Design Loads for Frame Structures; 3.4.2 CSS Algorithm-Based Structural Optimization Procedure; 3.5 Numerical Examples; 3.5.1 A Benchmark Truss; 3.5.2 A 120-Bar Dome Truss; 3.5.3 A 26-Story Tower Space Truss; 3.5.4 An Unbraced Space Frame; 3.5.5 A Braced Space Frame; 3.6 Discussion; 3.6.1 Efficiency of the CSS Rules; 3.6.2 Comparison of the PSO and CSS; 3.6.3 Efficiency of the CSS; References; Chapter 4: Magnetic Charged System Search; 4.1 Introduction. 4.2 Magnetic Charged System Search Method4.2.1 Magnetic Laws; 4.2.1.1 Magnetic Fields; 4.2.1.2 Magnetic Forces; 4.2.2 A Brief Introduction to Charged System Search Algorithm; 4.2.3 Magnetic Charged System Search Algorithm; 4.2.3.1 Combination of Magnetic and Electric forces; 4.2.3.2 MCSS Algorithm; 4.2.4 Numerical Examples; 4.2.4.1 Mathematical Benchmark Functions; Comparison Between MCSS, CSS and a Set of Genetic Algorithms; Numerical Results; Statistical Test; 4.2.4.2 Comparison Between MCSS and Other State-of-Art Algorithms; Description of Test Functions and Algorithms. Numerical Results and Statistical Test4.2.5 Engineering Examples; 4.3 Improved Magnetic Charged System Search; 4.3.1 A Discrete IMCSS; 4.3.2 An Improved Magnetic Charged System Search for Optimization of Truss Structures with Continuous and Discrete Variables; 4.3.2.1 Statement of the Optimization Problem; 4.3.2.2 Numerical Examples; References; Chapter 5: Field of Forces Optimization; 5.1 Introduction; 5.2 Formulation of the Configuration Optimization Problems; 5.3 Fundamental Concepts of the Fields of Forces; 5.4 Necessary Definitions for a FOF-Based Model; 5.5 A FOF-Based General Method. 5.6 An Enhanced Charged System Search Algorithm for Configuration Optimization
Titelhinweis	Druckausg.ISBN: 978-331-90554-8-0
ISBN	ISBN 978-3-319-05549-7
Klassifikation	TBJ
	MAT003000
	*90-02
	90C59
	519
	624.1771
	TA329-348
	TA640-643
Kurzbeschreibung	This 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.
SWB-Titel-Idn	405479190
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-319-05549-7
Internetseite / Link	Volltext
Siehe auch	Volltext
Siehe auch	Cover
Siehe auch	Inhaltstext

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