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Nature-Inspired Optimizers

Name: Nature-Inspired Optimizers
Brand: Springer Nature Switzerland AG
SKU: 9783030121266
Price: 105.5 EUR
Availability: InStock

Автор: Seyedali Mirjalili, Jin Song Dong, Andrew Lewis

Език:

Корици: С твърди корици

Издател: Springer Nature Switzerland AG

Наличност: Външен склад

Изпращаме след 10-13 дни

105.50 € 206.33 лв

This book covers the conventional and most recent theories and applications in the area of evolution...

Информация за книгата

Автор

Seyedali Mirjalili, Jin Song Dong, Andrew Lewis

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2019

страници

238

EAN

9783030121266

ISBN

3030121267

Enbook ID

21126728

Издател

Springer Nature Switzerland AG

Теглоt

553

Размери

155 x 235 x 19

Пълно описание

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.