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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 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.
The book presents recently developed efficient metaheuristic
optimization algorithms and their applications for solving various
optimization problems in civil engineering. The concepts can also
be used for optimizing problems in mechanical and electrical
engineering.
The book presents recently developed efficient metaheuristic
optimization algorithms and their applications for solving various
optimization problems in civil engineering. The concepts can also
be used for optimizing problems in mechanical and electrical
engineering.
This book presents and applies a novel efficient meta-heuristic
optimization algorithm called Colliding Bodies Optimization (CBO)
for various optimization problems. The first part of the book
introduces the concepts and methods involved, while the second is
devoted to the applications. Though optimal design of structures is
the main topic, two chapters on optimal analysis and applications
in constructional management are also included. This algorithm is
based on one-dimensional collisions between bodies, with each agent
solution being considered as an object or body with mass. After a
collision of two moving bodies with specified masses and
velocities, these bodies again separate, with new velocities. This
collision causes the agents to move toward better positions in the
search space. The main algorithm (CBO) is internally parameter
independent, setting it apart from previously developed
meta-heuristics. This algorithm is enhanced (ECBO) for more
efficient applications in the optimal design of structures. The
algorithms are implemented in standard computer programming
languages (MATLAB and C++) and two main codes are provided for ease
of use.
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. Â
Graph theory gained initial prominence in science and engineering
through its strong links with matrix algebra and computer science.
Moreover, the structure of the mathematics is well suited to that
of engineering problems in analysis and design. The methods of
analysis in this book employ matrix algebra, graph theory and
meta-heuristic algorithms, which are ideally suited for modern
computational mechanics. Efficient methods are presented that lead
to highly sparse and banded structural matrices. The main features
of the book include: application of graph theory for efficient
analysis; extension of the force method to finite element analysis;
application of meta-heuristic algorithms to ordering and
decomposition (sparse matrix technology); efficient use of symmetry
and regularity in the force method; and simultaneous analysis and
design of structures.
This book presents and applies a novel efficient meta-heuristic
optimization algorithm called Colliding Bodies Optimization (CBO)
for various optimization problems. The first part of the book
introduces the concepts and methods involved, while the second is
devoted to the applications. Though optimal design of structures is
the main topic, two chapters on optimal analysis and applications
in constructional management are also included. This algorithm is
based on one-dimensional collisions between bodies, with each agent
solution being considered as an object or body with mass. After a
collision of two moving bodies with specified masses and
velocities, these bodies again separate, with new velocities. This
collision causes the agents to move toward better positions in the
search space. The main algorithm (CBO) is internally parameter
independent, setting it apart from previously developed
meta-heuristics. This algorithm is enhanced (ECBO) for more
efficient applications in the optimal design of structures. The
algorithms are implemented in standard computer programming
languages (MATLAB and C++) and two main codes are provided for ease
of use.
Graph theory gained initial prominence in science and engineering
through its strong links with matrix algebra and computer science.
Moreover, the structure of the mathematics is well suited to that
of engineering problems in analysis and design. The methods of
analysis in this book employ matrix algebra, graph theory and
meta-heuristic algorithms, which are ideally suited for modern
computational mechanics. Efficient methods are presented that lead
to highly sparse and banded structural matrices. The main features
of the book include: application of graph theory for efficient
analysis; extension of the force method to finite element analysis;
application of meta-heuristic algorithms to ordering and
decomposition (sparse matrix technology); efficient use of symmetry
and regularity in the force method; and simultaneous analysis and
design of structures.
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