Nature-Inspired Optimizers: Theories, Literature Reviews and ApplicationsКНИГИ » ПРОГРАММИНГ
Название: Nature-Inspired Optimizers: Theories, Literature Reviews and Applications Автор: Seyedali Mirjalili (Editor), Song Dong, Jin (Editor), Andrew Lewis (Editor) Издательство: Springer Год: 2019 Формат: True PDF Страниц: 238 Размер: 10.7 Mb Язык: English
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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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications 
