Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications

Author:   Gebrail Bekdaş ,  Sinan Melih Nigdeli
Publisher:   Springer International Publishing AG
Edition:   2023 ed.
Volume:   480
ISBN:  

9783031347276


Pages:   305
Publication Date:   16 June 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications


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Overview

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.   

Full Product Details

Author:   Gebrail Bekdaş ,  Sinan Melih Nigdeli
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2023 ed.
Volume:   480
Weight:   0.698kg
ISBN:  

9783031347276


ISBN 10:   3031347277
Pages:   305
Publication Date:   16 June 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction and Overview: Hybrid Metaheuristics in Structural Engineering - Including Machine Learning Applications.- The Development of Hybrid Metaheuristics in Structural Engineering.-  Optimum Design of Reinforced Concrete Columns in Case of Fire.- Hybrid Social Network Search and Material Generation Algorithm for Shape and Size Optimization of Truss Structures.- Development of a Hybrid Algorithm for Optimum Design of a Large-Scale Truss Structure.

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