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OverviewFrom 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 DetailsAuthor: Gebrail Bekdaş , Sinan Melih NigdeliPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2023 ed. Volume: 480 Weight: 0.698kg ISBN: 9783031347276ISBN 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 ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |