Authors:
- Presents recent advances in the field of optimization in civil engineering
- Discusses damage identification, stacking sequence design of fibre-reinforced laminated plates, optimal sensor placement for model identification and optimal design of structures, as well as the applicability of algorithms for various problems
- Includes algorithms and problems that can be simply implemented and utilized
Part of the book series: Studies in Computational Intelligence (SCI, volume 900)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (15 chapters)
-
Front Matter
About this book
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, aswell as for students and researchers interested in structural optimization.
Authors and Affiliations
-
Department of Civil Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
Ali Kaveh, Armin Dadras Eslamlou
Bibliographic Information
Book Title: Metaheuristic Optimization Algorithms in Civil Engineering: New Applications
Authors: Ali Kaveh, Armin Dadras Eslamlou
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-45473-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-45472-2Published: 15 April 2020
Softcover ISBN: 978-3-030-45475-3Published: 15 April 2021
eBook ISBN: 978-3-030-45473-9Published: 14 April 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVIII, 374
Number of Illustrations: 59 b/w illustrations, 129 illustrations in colour
Topics: Computational Intelligence, Building Construction and Design, Artificial Intelligence