Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications: 480 (Studies in Systems, Decision and Control, 480) - Softcover
Synopsis
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.
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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.
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Hybrid Metaheuristics in Structural Engineering
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Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031347307
ISBN 13: 9783031347306
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Thes. Seller Inventory # 1713332653
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Hybrid Metaheuristics in Structural Engineering
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Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10: 3031347307
ISBN 13: 9783031347306
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 305 pp. Englisch. Seller Inventory # 9783031347306
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Hybrid Metaheuristics in Structural Engineering | Including Machine Learning Applications
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Taschenbuch. Condition: Neu. Hybrid Metaheuristics in Structural Engineering | Including Machine Learning Applications | Gebrail Bekdas (u. a.) | Taschenbuch | viii | Englisch | 2024 | Springer | EAN 9783031347306 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 129484134
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Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications: 480 (Studies in Systems, Decision and Control)
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Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications: 480 (Studies in Systems, Decision and Control)
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Hybrid Metaheuristics in Structural Engineering : Including Machine Learning Applications
Published by
Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10: 3031347307
ISBN 13: 9783031347306
New
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783031347306
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Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications: 480 (Studies in Systems, Decision and Control)
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