Nature-Inspired Optimizers

Theories, Literature Reviews and Applications

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Nature-Inspired Optimizers by , Springer International Publishing
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Author: ISBN: 9783030121273
Publisher: Springer International Publishing Publication: February 1, 2019
Imprint: Springer Language: English
Author:
ISBN: 9783030121273
Publisher: Springer International Publishing
Publication: February 1, 2019
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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