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Advanced Optimization by Nature-Inspired Algorithms
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Advanced Optimization by Nature-Inspired Algorithms

1st ed. 2018

Book Details

Format Hardback or Cased Book
ISBN-10 9811052204
ISBN-13 9789811052200
Edition 1st ed. 2018
Publisher Springer Verlag, Singapore
Imprint Springer Verlag, Singapore
Country of Manufacture SG
Country of Publication GB
Publication Date Jul 11th, 2017
Print length 159 Pages
Ksh 19,800.00
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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.
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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