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.