Nature-Inspired Optimizers
Author | : Seyedali Mirjalili |
Publisher | : Springer |
Total Pages | : 245 |
Release | : 2019-02-01 |
ISBN-13 | : 9783030121273 |
ISBN-10 | : 3030121275 |
Rating | : 4/5 (75 Downloads) |
Download or read book Nature-Inspired Optimizers written by Seyedali Mirjalili and published by Springer. This book was released on 2019-02-01 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.