Advances in Structural Engineering - Optimization: Emerging Trends in Structural Optimization
Language: English
Published by Springer Nature, 2020
Series: Book 281 of 378 - Studies in Systems, Decision and Control
- Hardcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 320.46
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- Title
- Advances in Structural Engineering - Optimization: Emerging Trends in Structural Optimization
- Author
- Nigdeli, Sinan Melih (Editor)/ Bekdas, Gebrail (Editor)/ Kayabekir, Aylin Ece (Editor)/ Yucel, Melda (Editor)
- Publisher
- Springer Nature
- Publication year
- 2020
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030618471
- ISBN 13
- 9783030618476
- Item weight
- 0.63 kilograms
- Series
- Book 281 of 378: Studies in Systems, Decision and Control
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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