3030121267

Nature-Inspired Optimizers: Theories, Literature Reviews and Applications  eBooks & eLearning

Posted by roxul at July 27, 2019
Nature-Inspired Optimizers: Theories, Literature Reviews and Applications

Seyedali Mirjalili, "Nature-Inspired Optimizers: Theories, Literature Reviews and Applications "
English | ISBN: 3030121267 | 2020 | 238 pages | PDF | 13 MB

Nature-Inspired Optimizers: Theories, Literature Reviews and Applications  eBooks & eLearning

Posted by AvaxGenius at April 14, 2020
Nature-Inspired Optimizers: Theories, Literature Reviews and Applications

Nature-Inspired Optimizers: Theories, Literature Reviews and Applications by Seyedali Mirjalili
English | EPUB | 2020 | 245 Pages | ISBN : 3030121267 | 21.21 MB

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.