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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications (2020)

Contributor(s): Mirjalili, Seyedali (Editor), Song Dong, Jin (Editor), Lewis, Andrew (Editor)

ISBN: 9783030121266

Publisher: Springer

Hardcover
$109.99
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Pub Date: February 25, 2019

Dewey: 006.3

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.63" H x 9.21" L x 6.14" W ( 1.18 lbs) 238 pages

Series: Studies in Computational Intelligence

Descriptions, Reviews, etc.

Description: This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

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