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Advanced optimization by nature-inspired algorithms 1st ed.

Author
Additional Author(s)
  • Bozorg-Haddad, Omid
Publisher
Singapore : Springer Nature Singapore Pte Ltd., 2018
Language
English
ISBN
9789811052217
Series
Studies in computational intelligence 720
Subject(s)
  • COMPUTATIONAL INTELLIGENCE
  • MATHEMATICAL OPTIMIZATION
  • NATURAL COMPUTATION
Notes
. .
Abstract
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.
Physical Dimension
Number of Page(s)
1 online resource (xv, 159 p.)
Dimension
-
Other Desc.
ill. (in color.)
Summary / Review / Table of Content
No summary / review / table of content available!
Exemplar(s)
# Accession No. Call Number Location Status
1.01890/20006.38 AdvOnline !Available

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