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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Bibliographic Details
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore , 2018.
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 720
Subjects:
Computational intelligence.
Mathematical optimization.
Artificial intelligence.
Operations research.
Decision making.
Mechanics.
Mechanics, Applied.
Optical data processing.
ISBN:9789811052217
ISSN:1860-949X ;
Online Access: Get full text
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Summary: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.
Item Description:Engineering
Physical Description:XV, 159 p. 34 illus., 4 illus. in color. online resource.
ISBN:9789811052217
ISSN:1860-949X ;

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