Advances in Metaheuristic Algorithms for Optimal Design of Structures

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,...

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Bibliographic Details
Main Author: Kaveh, A. 1948-
Format: eBook
Language: English
Published: Cham : Springer, [2016], ©2017.
Edition: 2nd ed.
Subjects:
Structural design > Mathematical models.
Structural design > Data processing.
elektronické knihy
electronic books
ISBN: 9783319461731
9783319461724
Physical Description: 1 online resource (637 pages)

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100 1 |a Kaveh, A.  |q (Ali),  |d 1948- 
245 1 0 |a Advances in Metaheuristic Algorithms for Optimal Design of Structures /  |c A. Kaveh. 
250 |a 2nd ed. 
260 |a Cham :  |b Springer,  |c [2016], ©2017. 
300 |a 1 online resource (637 pages) 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a 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. 
505 8 |a 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 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. 
505 8 |a 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. 
505 8 |a 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-the-Art Algorithms; Description of Test Functions and Algorithms. 
505 8 |a 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 An FOF-Based General Method. 
500 |a 5.6 An Enhanced Charged System Search Algorithm for Configuration Optimization. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 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. 
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650 0 |a Structural design  |x Data processing. 
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