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This book presents efficient metaheuristic algorithms for optimal
design of structures. Many of these algorithms are developed by the
author and his graduate students, consisting of Particle Swarm
Optimization, Charged System Search, Magnetic Charged System
Search, Field of Forces Optimization, Democratic Particle Swarm
Optimization, Dolphin Echolocation Optimization, Colliding Bodies
Optimization, Ray Optimization. These are presented together with
algorithms which are developed by other authors and have been
successfully applied to various optimization problems. These
consist of Partical Swarm Optimization, Big Band Big Crunch
algorithm, Cuckoo Search Optimization, Imperialist Competitive
Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a
multi-objective Optimization is presented to Solve large scale
structural problems based on the Charged System Search algorithm,
In the second edition seven new chapters are added consisting of
Enhance colliding bodies optimization, Global sensitivity analysis,
Tug of War Optimization, Water evaporation optimization, Vibrating
System Optimization and Cyclical Parthenogenesis Optimization
algorithm. In the third edition, five new chapters are included
consisting of the recently developed algorithms. These are Shuffled
Shepherd Optimization Algorithm, Set Theoretical Shuffled Shepherd
Optimization Algorithm, Set Theoretical Teaching-Learning-Based
Optimization Algorithm, Thermal Exchange Metaheuristic Optimization
Algorithm, and Water Strider Optimization Algorithm and Its
Enhancement. The concepts and algorithm presented in this book are
not only applicable to optimization of skeletal structure, finite
element models, but can equally be utilized for optimal design of
other systems such as hydraulic and electrical networks.
This book proposes and validates a number of methods and shortcuts
for frugal engineers, which will allow them to significantly reduce
the computational costs for analysis and reanalysis and, as a
result, for structural design processes. The need for accuracy and
speed in analyzing structural systems with ever-tighter design
tolerances and larger numbers of elements has been relentlessly
driving forward research into methods that are capable of analyzing
structures at a reasonable computational cost. The methods
presented are of particular value in situations where the analysis
needs to be repeated hundreds or even thousands of times, as is the
case with the optimal design of structures using different
metaheuristic algorithms. Featuring methods that are not only
applicable to skeletal structures, but by extension also to
continuum models, this book will appeal to researchers and
engineers involved in the computer-aided analysis and design of
structures, and to software developers in this field. It also
serves as a complement to previous books on the optimal analysis of
large-scale structures utilizing concepts of symmetry and
regularity. Further, its novel application of graph-theoretical
methods is of interest to mathematicians.
This book discusses the application of metaheuristic algorithms in
a number of important optimization problems in civil engineering.
Advances in civil engineering technologies require greater
accuracy, efficiency and speed in terms of the analysis and design
of the corresponding systems. As such, it is not surprising that
novel methods have been developed for the optimal design of
real-world systems and models with complex configurations and large
numbers of elements. This book is intended for scientists,
engineers and students wishing to explore the potential of newly
developed metaheuristics in practical problems. It presents
concepts that are not only applicable to civil engineering
problems, but can also used for optimizing problems related to
mechanical, electrical, and industrial engineering. It is an
essential resource for civil, mechanical and electrical engineers
who use optimization methods for design, as well as for students
and researchers interested in structural optimization.
This book presents efficient metaheuristic algorithms for optimal
design of structures. Many of these algorithms are developed by the
author and his graduate students, consisting of Particle Swarm
Optimization, Charged System Search, Magnetic Charged System
Search, Field of Forces Optimization, Democratic Particle Swarm
Optimization, Dolphin Echolocation Optimization, Colliding Bodies
Optimization, Ray Optimization. These are presented together with
algorithms which are developed by other authors and have been
successfully applied to various optimization problems. These
consist of Partical Swarm Optimization, Big Band Big Crunch
algorithm, Cuckoo Search Optimization, Imperialist Competitive
Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a
multi-objective Optimization is presented to Solve large scale
structural problems based on the Charged System Search algorithm,
In the second edition seven new chapters are added consisting of
Enhance colliding bodies optimization, Global sensitivity analysis,
Tug of War Optimization, Water evaporation optimization, Vibrating
System Optimization and Cyclical Parthenogenesis Optimization
algorithm. In the third edition, five new chapters are included
consisting of the recently developed algorithms. These are Shuffled
Shepherd Optimization Algorithm, Set Theoretical Shuffled Shepherd
Optimization Algorithm, Set Theoretical Teaching-Learning-Based
Optimization Algorithm, Thermal Exchange Metaheuristic Optimization
Algorithm, and Water Strider Optimization Algorithm and Its
Enhancement. The concepts and algorithm presented in this book are
not only applicable to optimization of skeletal structure, finite
element models, but can equally be utilized for optimal design of
other systems such as hydraulic and electrical networks.
This book proposes and validates a number of methods and shortcuts
for frugal engineers, which will allow them to significantly reduce
the computational costs for analysis and reanalysis and, as a
result, for structural design processes. The need for accuracy and
speed in analyzing structural systems with ever-tighter design
tolerances and larger numbers of elements has been relentlessly
driving forward research into methods that are capable of analyzing
structures at a reasonable computational cost. The methods
presented are of particular value in situations where the analysis
needs to be repeated hundreds or even thousands of times, as is the
case with the optimal design of structures using different
metaheuristic algorithms. Featuring methods that are not only
applicable to skeletal structures, but by extension also to
continuum models, this book will appeal to researchers and
engineers involved in the computer-aided analysis and design of
structures, and to software developers in this field. It also
serves as a complement to previous books on the optimal analysis of
large-scale structures utilizing concepts of symmetry and
regularity. Further, its novel application of graph-theoretical
methods is of interest to mathematicians.
This book discusses the application of metaheuristic algorithms in
a number of important optimization problems in civil engineering.
Advances in civil engineering technologies require greater
accuracy, efficiency and speed in terms of the analysis and design
of the corresponding systems. As such, it is not surprising that
novel methods have been developed for the optimal design of
real-world systems and models with complex configurations and large
numbers of elements. This book is intended for scientists,
engineers and students wishing to explore the potential of newly
developed metaheuristics in practical problems. It presents
concepts that are not only applicable to civil engineering
problems, but can also used for optimizing problems related to
mechanical, electrical, and industrial engineering. It is an
essential resource for civil, mechanical and electrical engineers
who use optimization methods for design, as well as for students
and researchers interested in structural optimization.
The book presents eight well-known and often used algorithms
besides nine newly developed algorithms by the first author and his
students in a practical implementation framework. Matlab codes and
some benchmark structural optimization problems are provided. The
aim is to provide an efficient context for experienced researchers
or readers not familiar with theory, applications and computational
developments of the considered metaheuristics. The information will
also be of interest to readers interested in application of
metaheuristics for hard optimization, comparing conceptually
different metaheuristics and designing new metaheuristics.
Optimal analysis is defined as an analysis that creates and uses
sparse, well-structured and well-conditioned matrices. The focus is
on efficient methods for eigensolution of matrices involved in
static, dynamic and stability analyses of symmetric and regular
structures, or those general structures containing such components.
Powerful tools are also developed for configuration processing,
which is an important issue in the analysis and design of space
structures and finite element models. Different mathematical
concepts are combined to make the optimal analysis of structures
feasible. Canonical forms from matrix algebra, product graphs from
graph theory and symmetry groups from group theory are some of the
concepts involved in the variety of efficient methods and
algorithms presented. The algorithms elucidated in this book enable
analysts to handle large-scale structural systems by lowering their
computational cost, thus fulfilling the requirement for faster
analysis and design of future complex systems. The value of the
presented methods becomes all the more evident in cases where the
analysis needs to be repeated hundreds or even thousands of times,
as for the optimal design of structures by different metaheuristic
algorithms. The book is of interest to anyone engaged in
computer-aided analysis and design and software developers in this
field. Though the methods are demonstrated mainly through skeletal
structures, continuum models have also been added to show the
generality of the methods. The concepts presented are not only
applicable to different types of structures but can also be used
for the analysis of other systems such as hydraulic and electrical
networks.
Optimal analysis is defined as an analysis that creates and uses
sparse, well-structured and well-conditioned matrices. The focus is
on efficient methods for eigensolution of matrices involved in
static, dynamic and stability analyses of symmetric and regular
structures, or those general structures containing such components.
Powerful tools are also developed for configuration processing,
which is an important issue in the analysis and design of space
structures and finite element models.
Different mathematical concepts are combined to make the optimal
analysis of structures feasible. Canonical forms from matrix
algebra, product graphs from graph theory and symmetry groups from
group theory are some of the concepts involved in the variety of
efficient methods and algorithms presented.
The algorithms elucidated in this book enable analysts to handle
large-scale structural systems by lowering their computational
cost, thus fulfilling the requirement for faster analysis and
design of future complex systems. The value of the presented
methods becomes all the more evident in cases where the analysis
needs to be repeated hundreds or even thousands of times, as for
the optimal design of structures by different metaheuristic
algorithms.
The book is of interest to anyone engaged in computer-aided
analysis and design and software developers in this field. Though
the methods are demonstrated mainly through skeletal structures,
continuum models have also beenadded to show the generality of the
methods. The concepts presented are not only applicable to
different types of structures but can also be used for the analysis
of other systems such as hydraulic and electrical networks."
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