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(Ebook) Nature-Inspired Optimizers: Theories, Literature Reviews and Applications by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis ISBN 9783030121266, 9783030121273, 3030121267, 3030121275

  • SKU: EBN-9959856
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Authors:Seyedali Mirjalili, Jin Song Dong, Andrew Lewis
Year:2020
Editon:1st ed.
Publisher:Springer International Publishing
Language:english
File Size:12.72 MB
Format:pdf
ISBNS:9783030121266, 9783030121273, 3030121267, 3030121275
Categories: Ebooks

Product desciption

(Ebook) Nature-Inspired Optimizers: Theories, Literature Reviews and Applications by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis ISBN 9783030121266, 9783030121273, 3030121267, 3030121275

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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