Nature-Inspired Optimizers: Theories, Literature Reviews and Applications (1st ed. 2020) (Studies in Computational Intelligence #811)

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Synopsis
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.
Copyright:
2020

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783030121273
Related ISBNs:
9783030121266
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
Springer
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Seyedali Mirjalili
Edited by:
Jin Song Dong
Edited by:
Andrew Lewis

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