Advanced Optimization by Nature-Inspired Algorithms

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Advanced Optimization by Nature-Inspired Algorithms by , Springer Singapore
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Author: ISBN: 9789811052217
Publisher: Springer Singapore Publication: June 30, 2017
Imprint: Springer Language: English
Author:
ISBN: 9789811052217
Publisher: Springer Singapore
Publication: June 30, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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