Название: Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications
Автор: Gebrail Bekdas, Sinan Melih Nigdeli
Издательство: Springer
Год: 2023
Страниц: 306
Язык: английский
Формат: pdf (true), epub
Размер: 48.2 MB

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 (AI) 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.

This book includes reviews and applications of hybrid metaheuristic algorithms and Machine Learning used in structural engineering. It contains 14 chapters including an overview and introduction. 14 of 13 chapters are presented in two parts, namely, Part I: Hybrid Metaheuristics and Part II: Machine Learning. In Part I, a review and seven structural engineering applications including reinforced concrete, truss structures, tuned mass damper, composite structures, and dam structures are given. In Part II, two reviews and four Machine Learning applications about structural engineering problems, reinforced concrete, and building information modeling are given.

Deep Learning (DL) is an Artificial Intelligence method, which consists of neural networks resembling neurons in the human brain, focused on working like the human brain and using large amounts of data. It directs people to think like the human brain by using different sources such as text, sound, pictures, and so on as data. In today's world, digital assistants on smartphones and computers are used in many areas such as voice search on the internet, face recognition systems used in phones and security units, creating subtitles for various video applications, and personalized internet advertisements according to people's product preferences. In the defense industry and security sector, it plays an important role in preventing accidents and detecting dangerous elements with its aspects such as identifying objects that threaten security and providing driver support in the limited visibility of vehicles in traffic.