Hybrid Metaheuristics in Structural Engineering

Including Machine Learning Applications de

,

Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2023-06-15

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Description

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. 
 
Pages
305 pages
Collection
Studies in Systems, Decision and Control
Parution
2023-06-15
Marque
Springer
EAN papier
9783031347276
EAN PDF
9783031347283

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
10312 Ko
Prix
210,99 €
EAN EPUB
9783031347283

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
42998 Ko
Prix
210,99 €