1.

Record Nr.

UNINA9910731456003321

Autore

Bekdaş Gebrail

Titolo

Hybrid Metaheuristics in Structural Engineering : Including Machine Learning Applications / / edited by Gebrail Bekdaş, Sinan Melih Nigdeli

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

3-031-34728-5

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (306 pages)

Collana

Studies in Systems, Decision and Control, , 2198-4190 ; ; 480

Altri autori (Persone)

NigdeliSinan Melih

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Computational Intelligence

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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. .