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Advanced Optimization by Nature-Inspired Algorithms

Advanced Optimization by Nature-Inspired Algorithms

Hardcover

Series: Studies in Computational Intelligence, Book 720

Business GeneralTechnology & EngineeringGeneral Mathematics

ISBN10: 9811052204
ISBN13: 9789811052200
Publisher: Springer Nature
Published: Jul 11 2017
Pages: 159
Weight: 0.94
Height: 0.44 Width: 6.14 Depth: 9.21
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.

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General Mathematics