Nature-Inspired Optimizers : Theories, Literature Reviews and Applications
2020 ed.
Book Details
Format
Paperback / Softback
Book Series
Studies in Computational Intelligence
ISBN-10
3030121291
ISBN-13
9783030121297
Edition
2020 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 28th, 2020
Print length
238 Pages
Product Classification:
OptimizationAutomatic control engineeringArtificial intelligenceArtificial intelligence (AI)
Ksh 16,200.00
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This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms.
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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