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Applied Genetic Algorithm and Its Variants: Case Studies and New Developments (2023)

Contributor(s): Dey, Nilanjan (Editor)

ISBN: 9789819934270

Publisher: Springer

Hardcover
$199.99
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Pub Date: July 2, 2023

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.63" H x 9.29" L x 6.22" W ( 0.90 lbs) 245 pages

Series: Springer Tracts in Nature-Inspired Computing

Descriptions, Reviews, etc.

Description: This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems. The genetic algorithms are demonstrated to offer reliable search in complex spaces. The book presents high-quality research work by academics and researchers which is useful for young researchers and students.

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