Advances in Metaheuristic Algorithms for Optimal Design of Structures

  • A. Kaveh

Table of contents

  1. Front Matter
    Pages i-xii
  2. A. Kaveh
    Pages 1-8
  3. A. Kaveh
    Pages 9-40
  4. A. Kaveh
    Pages 41-85
  5. A. Kaveh
    Pages 87-134
  6. A. Kaveh
    Pages 135-155
  7. A. Kaveh
    Pages 157-193
  8. A. Kaveh
    Pages 195-232
  9. A. Kaveh
    Pages 233-276
  10. A. Kaveh
    Pages 317-347
  11. A. Kaveh
    Pages 349-368

About this book


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.



Meta-heuristic Algorithms Multi-objective Optimization Algorithms Optimization Problems

Authors and affiliations

  • A. Kaveh
    • 1
  1. 1.School of Civil Engineering, Centre of Excellence for Fundamental Studies in Structural EngineeringIran University of Science and TechnologyTehranIran

Bibliographic information