Overview
- Introduces the fundamentals with advanced modification of metaheuristic methods
- Summarizes the latest developments in the optimization of structural engineering systems
- Covers all classical approaches and new trends including hybrids metaheuristic algorithms
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 480)
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Table of contents (14 chapters)
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Front Matter
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Hybrid Metaheuristics
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Front Matter
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Machine Learning
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Front Matter
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Keywords
- Algorithms
- Artificial Intelligence
- Artificial Neural Networks
- Evolutionary Algorithms
- Genetic Algorithms
- Hybrid Algorithms
- Optimization
- Optimum Design
- Metaheuristic Algorithms
- Bioinspired Algorithms
- Swarm Intelligence
- Structural Engineering
- Nature-inspired Algorithms
- Machine Learning
- Optimum Structural Control
- Computational Intelligence
About this book
From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence.
This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering.
Editors and Affiliations
Bibliographic Information
Book Title: Hybrid Metaheuristics in Structural Engineering
Book Subtitle: Including Machine Learning Applications
Editors: Gebrail Bekdaş, Sinan Melih Nigdeli
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-031-34728-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-34727-6Published: 16 June 2023
Softcover ISBN: 978-3-031-34730-6Due: 11 July 2023
eBook ISBN: 978-3-031-34728-3Published: 15 June 2023
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: VIII, 305
Number of Illustrations: 48 b/w illustrations, 84 illustrations in colour