The Resource Advances in Metaheuristic Algorithms for Optimal Design of Structures, A. Kaveh
Advances in Metaheuristic Algorithms for Optimal Design of Structures, A. Kaveh
Resource Information
The item Advances in Metaheuristic Algorithms for Optimal Design of Structures, A. Kaveh represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Massey University Library, University of New Zealand.This item is available to borrow from 1 library branch.
Resource Information
The item Advances in Metaheuristic Algorithms for Optimal Design of Structures, A. Kaveh represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Massey University Library, University of New Zealand.
This item is available to borrow from 1 library branch.
 Summary
 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 BangBig Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multiobjective optimization method is presented to solve largescale 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. In the second edition seven new chapters are added consisting of the new developments in the field of optimization. These chapters consist of the Enhanced Colliding Bodies Optimization, Global Sensitivity Analysis, Tug of War Optimization, Water Evaporation Optimization, Vibrating Particle System Optimization and Cyclical Parthenogenesis Optimization algorithms. A chapter is also devoted to optimal design of large scale structures
 Language
 eng
 Edition
 2nd ed
 Extent
 1 online resource (637 pages)
 Note
 5.6 An Enhanced Charged System Search Algorithm for Configuration Optimization
 Contents

 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 10Bar Truss; 2.5.3.2 A Simply Supported 37Bar Planar Truss; 2.5.3.3 A 52Bar DomeLike Truss; 2.5.3.4 A 120Bar 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 The Governing Laws of Motion from the Newtonian Mechanics; 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 AlgorithmBased Structural Optimization Procedure; 3.5 Numerical Examples; 3.5.1 A Benchmark Truss; 3.5.2 A 120Bar Dome Truss; 3.5.3 A 26StoryTower 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 StateoftheArt 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 FOFBased Model; 5.5 An FOFBased General Method
 Isbn
 9783319461731
 Label
 Advances in Metaheuristic Algorithms for Optimal Design of Structures
 Title
 Advances in Metaheuristic Algorithms for Optimal Design of Structures
 Statement of responsibility
 A. Kaveh
 Language
 eng
 Summary
 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 BangBig Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multiobjective optimization method is presented to solve largescale 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. In the second edition seven new chapters are added consisting of the new developments in the field of optimization. These chapters consist of the Enhanced Colliding Bodies Optimization, Global Sensitivity Analysis, Tug of War Optimization, Water Evaporation Optimization, Vibrating Particle System Optimization and Cyclical Parthenogenesis Optimization algorithms. A chapter is also devoted to optimal design of large scale structures
 http://library.link/vocab/creatorDate
 1948
 http://library.link/vocab/creatorName
 Kaveh, A.
 Dewey number

 624.1/771
 620
 Index
 no index present
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/subjectName

 Structural design
 Structural design
 Label
 Advances in Metaheuristic Algorithms for Optimal Design of Structures, A. Kaveh
 Note
 5.6 An Enhanced Charged System Search Algorithm for Configuration Optimization
 Antecedent source
 file reproduced from an electronic resource
 Color
 not applicable
 Contents

 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 10Bar Truss; 2.5.3.2 A Simply Supported 37Bar Planar Truss; 2.5.3.3 A 52Bar DomeLike Truss; 2.5.3.4 A 120Bar 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 The Governing Laws of Motion from the Newtonian Mechanics; 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 AlgorithmBased Structural Optimization Procedure; 3.5 Numerical Examples; 3.5.1 A Benchmark Truss; 3.5.2 A 120Bar Dome Truss; 3.5.3 A 26StoryTower 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 StateoftheArt 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 FOFBased Model; 5.5 An FOFBased General Method
 Control code
 ocn963579699
 Dimensions
 unknown
 Edition
 2nd ed
 Extent
 1 online resource (637 pages)
 File format
 one file format
 Form of item
 online
 Isbn
 9783319461731
 Level of compression
 unknown
 Quality assurance targets
 unknown
 Reformatting quality
 unknown
 Specific material designation
 remote
 System control number
 (OCoLC)963579699
 Label
 Advances in Metaheuristic Algorithms for Optimal Design of Structures, A. Kaveh
 Note
 5.6 An Enhanced Charged System Search Algorithm for Configuration Optimization
 Antecedent source
 file reproduced from an electronic resource
 Color
 not applicable
 Contents

 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 10Bar Truss; 2.5.3.2 A Simply Supported 37Bar Planar Truss; 2.5.3.3 A 52Bar DomeLike Truss; 2.5.3.4 A 120Bar 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 The Governing Laws of Motion from the Newtonian Mechanics; 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 AlgorithmBased Structural Optimization Procedure; 3.5 Numerical Examples; 3.5.1 A Benchmark Truss; 3.5.2 A 120Bar Dome Truss; 3.5.3 A 26StoryTower 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 StateoftheArt 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 FOFBased Model; 5.5 An FOFBased General Method
 Control code
 ocn963579699
 Dimensions
 unknown
 Edition
 2nd ed
 Extent
 1 online resource (637 pages)
 File format
 one file format
 Form of item
 online
 Isbn
 9783319461731
 Level of compression
 unknown
 Quality assurance targets
 unknown
 Reformatting quality
 unknown
 Specific material designation
 remote
 System control number
 (OCoLC)963579699
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