Nature-Inspired Methods for Metaheuristics Optimization
Algorithms and Applications in Science and Engineering
Springer International Publishing
ISBN 978-3-030-26458-1
Standardpreis
Bibliografische Daten
eBook. PDF. Weiches DRM (Wasserzeichen)
2020
XIII, 502 p. 252 illus., 110 illus. in color..
In englischer Sprache
Umfang: 502 S.
Verlag: Springer International Publishing
ISBN: 978-3-030-26458-1
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Modeling and Optimization in Science and Technologies
Produktbeschreibung
This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
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