Advanced Optimization by Nature-Inspired Algorithms

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In a...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Bozorg-Haddad, Omid (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:Studies in Computational Intelligence, 720
Konular:
Computational intelligence.
Mathematical optimization.
Artificial intelligence.
Operations research.
Mechanics, Applied.
Image processing > Digital techniques.
Computer vision.
Computational Intelligence.
Optimization.
Artificial Intelligence.
Operations Research and Decision Theory.
Engineering Mechanics.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Online Erişim:Full-text access
Diğer Bilgiler
Özet:This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
Fiziksel Özellikler:XV, 159 p. 34 illus., 4 illus. in color. online resource.
ISBN:9789811052217
ISSN:1860-9503 ;
DOI:10.1007/978-981-10-5221-7

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