Metaheuristic Applications in Structures and Infrastructures
Published on 5. February 2013
Book
Hardback
568 pages
978-0-12-398364-0 (ISBN)
Description
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems.
This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence.
This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence.
More details
Language
English
Place of publication
United States
Target group
Professional and scholarly
Advanced students, researchers and professional engineers in metaheursitics, optimization and computational intelligence and computational methods in civil engineering.
Product notice
Laminated cover
Dimensions
Height: 236 mm
Width: 156 mm
Thickness: 43 mm
Weight
942 gr
ISBN-13
978-0-12-398364-0 (9780123983640)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Amir Hossein Gandomi | Xin-She Yang | Siamak Talatahari
Metaheuristic Applications in Structures and Infrastructures
Book
02/2013
Elsevier
€75.51
The article will not be published
Xin-She Yang | Siamak Talatahari | Amir Hossein Alavi
Metaheuristic Applications in Structures and Infrastructures
E-Book
01/2013
Elsevier
€75.95
Available for download
Persons
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022). Dr. Siamak Talatahari received his Ph.D degree in Structural Engineering from University of Tabriz, Iran. After graduation, he
joined the University of Tabriz where he is presently Professor of Structural Engineering. He is the author of more than 100 papers
published in international journals, 30 papers presented at international conferences and 8 international book chapters. Dr. Talatahari
has been recognized as Distinguished Scientist in the Ministry of Science and Technology and as Distinguished Professor at the
University of Tabriz. He also teaches at the Yakin Dogu University, Nicosia, Cyprus. In addition, he is a co-author with our author
Xin-She Yang of Swarm Intelligence and Bio-Inspired Computation: Structural Optimization Using Krill Herd Algorithm;
Metaheuristics in Water, Geotechnical and Transport Engineering, and Metaheuristic Applications in Structures and
Infrastructures, all published by as Insights by Elsevier. Amir Hossein Alavi is an Assistant Professor in the Department of Civil and Environmental Engineering, and holds courtesy appointments in the Department of Bioengineering and Department of Mechanical Engineering and Materials Science, at the University of Pittsburgh, United States. His multidisciplinary scientific studies are organized around three research thrusts: 1) mechanics and electronics of multifunctional materials and structures, 2) embedded self-powered sensing systems, and 3) data-driven characterization, design and discovery of engineering systems.
joined the University of Tabriz where he is presently Professor of Structural Engineering. He is the author of more than 100 papers
published in international journals, 30 papers presented at international conferences and 8 international book chapters. Dr. Talatahari
has been recognized as Distinguished Scientist in the Ministry of Science and Technology and as Distinguished Professor at the
University of Tabriz. He also teaches at the Yakin Dogu University, Nicosia, Cyprus. In addition, he is a co-author with our author
Xin-She Yang of Swarm Intelligence and Bio-Inspired Computation: Structural Optimization Using Krill Herd Algorithm;
Metaheuristics in Water, Geotechnical and Transport Engineering, and Metaheuristic Applications in Structures and
Infrastructures, all published by as Insights by Elsevier. Amir Hossein Alavi is an Assistant Professor in the Department of Civil and Environmental Engineering, and holds courtesy appointments in the Department of Bioengineering and Department of Mechanical Engineering and Materials Science, at the University of Pittsburgh, United States. His multidisciplinary scientific studies are organized around three research thrusts: 1) mechanics and electronics of multifunctional materials and structures, 2) embedded self-powered sensing systems, and 3) data-driven characterization, design and discovery of engineering systems.
Editor
School of Science and Technology, Middlesex University, UK
Department of Civil Engineering, University of Tabriz, Tabriz, Iran.
School of Civil and Environment Engineering, University of New South Wales, Sydney, Australia.
School of Civil and Environment Engineering, University of New South Wales, Sydney, Australia.
Department of Civil and Environmental Engineering, Department of Bioengineering, University of Pittsburgh, Pittsburgh, USA
Content
Mataheuristics in Modelling and Optimization
Traditional and Modern Structural Optimization Techniques - Theory and Application
Metaheuristics and Applications in Structural and Construction Engineering
Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-art Review and Case Study
Metaheuristics in Structural Design Optimization
Multidisciplinary Design and Optimization Algorithms
Cost Optimization of Column Layout Design of Reinforced Concrete Buildings
Layout Design of Beam-Slab Floors by the Genetic Algorithm
Mathematical and Metaheuristic Applications in Design Optimization of Steel Frames
Optimum Design of Skeletal Structures via Big Bang-Big Crunch Algorithm
Hybrid Formulations of Harmony Search and Big Bang-Big Crunch for Weight Minimization of Truss Structures
Shape Design Optimization using Evolutionary Optimization Algorithms
Graph-based Coding for Truss Topology Optimization
Element Exchange Method for Topology Optimization
Structural Control using Stochastic Methodologies
Evolutionary Path-Dependent Damper Optimization for Variable Building Stiffness Distributions
Application of the Genetic Algorithm in the Ground Motion Selection for the Structural Analysis
Optmizaiton of Tuned Mass Damper with Harmony Search
Identification of Passive Devices for Vibration Control by Evolutionary Algorithms
Structural Optimization for Frequency Constraints
Optimum Performance-Based Seismic Design of Frames using Meta-Heuristic Optimization Algorithms
Expression Programming Techniques for Formulation of Structural Engineering Systems
An Evolutionary Divide-and-Conquer Strategy for Structural Identification
Evolutionary Algorithms for Large-Scale Optimization in Construction Management
Network-Level Infrastructure Management based on Meta-Heuristics
Meta-heuristic Algorithms for Large-Scale Maintenance Optimization Problems for Civil Infrastructure Systems
Metaheuristic Applications in Bridge Infrastructure Maintenance Scheduling Considering Stochastic Aspects of Deterioration
Traditional and Modern Structural Optimization Techniques - Theory and Application
Metaheuristics and Applications in Structural and Construction Engineering
Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-art Review and Case Study
Metaheuristics in Structural Design Optimization
Multidisciplinary Design and Optimization Algorithms
Cost Optimization of Column Layout Design of Reinforced Concrete Buildings
Layout Design of Beam-Slab Floors by the Genetic Algorithm
Mathematical and Metaheuristic Applications in Design Optimization of Steel Frames
Optimum Design of Skeletal Structures via Big Bang-Big Crunch Algorithm
Hybrid Formulations of Harmony Search and Big Bang-Big Crunch for Weight Minimization of Truss Structures
Shape Design Optimization using Evolutionary Optimization Algorithms
Graph-based Coding for Truss Topology Optimization
Element Exchange Method for Topology Optimization
Structural Control using Stochastic Methodologies
Evolutionary Path-Dependent Damper Optimization for Variable Building Stiffness Distributions
Application of the Genetic Algorithm in the Ground Motion Selection for the Structural Analysis
Optmizaiton of Tuned Mass Damper with Harmony Search
Identification of Passive Devices for Vibration Control by Evolutionary Algorithms
Structural Optimization for Frequency Constraints
Optimum Performance-Based Seismic Design of Frames using Meta-Heuristic Optimization Algorithms
Expression Programming Techniques for Formulation of Structural Engineering Systems
An Evolutionary Divide-and-Conquer Strategy for Structural Identification
Evolutionary Algorithms for Large-Scale Optimization in Construction Management
Network-Level Infrastructure Management based on Meta-Heuristics
Meta-heuristic Algorithms for Large-Scale Maintenance Optimization Problems for Civil Infrastructure Systems
Metaheuristic Applications in Bridge Infrastructure Maintenance Scheduling Considering Stochastic Aspects of Deterioration