Description: Advanced Optimization by Nature-Inspired Algorithms Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Omid Bozorg-Haddad Format: Paperback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789811353451, 978-9811353451 Synopsis 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.
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Location: Aldershot
End Time: 2025-01-28T09:04:23.000Z
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Book Title: Advanced Optimization by Nature-Inspired Algorithms
Number of Pages: 159 Pages
Language: English
Publication Name: Advanced Optimization by Nature-Inspired Algorithms
Publisher: Springer Verlag, Singapore
Publication Year: 2018
Subject: Computer Science, Mathematics, Management
Item Height: 235 mm
Item Weight: 279 g
Type: Textbook
Author: Omid Bozorg-Haddad
Subject Area: Data Analysis, Mechanical Engineering
Series: Studies in Computational Intelligence
Item Width: 155 mm
Format: Paperback