Overview
- Summarizes the latest developments in optimization and metaheuristic algorithms with emphasis on applications in structural engineering
- Presents artificial intelligence and machine learning methods to predict optimum results by skipping long optimization processes
- Introduces the fundamentals of the metaheuristic methods, their implementations, and applications so that undergraduates and graduates in engineering can gain good understanding of materials and contents
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 326)
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Table of contents (11 chapters)
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Front Matter
Keywords
- Algorithms
- Artificial Intelligence
- Artificial Neural Networks
- Evolutionary Algorithms
- Genetic Algorithms
- Harmony Search
- Hybrid Algorithms
- Optimization
- Optimum Design
- Metaheuristic Algorithms
- Bioinspired Algorithms
- Swarm Intelligence
- Structural Engineering
- Nature-inspired Algorithms
- Machine Learning
- Optimum Structural Control
About this book
This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches.
This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Structural Engineering—Optimization
Book Subtitle: Emerging Trends in Structural Optimization
Editors: Sinan Melih Nigdeli, Gebrail Bekdaş, Aylin Ece Kayabekir, Melda Yucel
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-61848-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-61847-6Published: 05 December 2020
Softcover ISBN: 978-3-030-61850-6Published: 05 December 2021
eBook ISBN: 978-3-030-61848-3Published: 04 December 2020
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: VIII, 310
Number of Illustrations: 74 b/w illustrations, 64 illustrations in colour