Taymaz Akan, Ahmed M. Anter, A. ?ima Etaner-Uyar, Engineering Applications of Modern Metaheuristics 9783031168314

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Автор: Taymaz Akan, Ahmed M. Anter, A. ?ima Etaner-Uyar, (Таймаз Акан)
Название: Engineering Applications of Modern Metaheuristics
Перевод названия: Таймаз Акан: Инженерные приложения современной метаэвристики
ISBN: 9783031168314
Издательство: Springer
Классификация:

Алгоритмы и структуры данных

Базы данных

Искусственный интеллект

ISBN-10: 3031168313
Обложка/Формат: Hardback
Страницы: 209
Вес: 0.53 кг.
Дата издания: 05.12.2022
Серия: Studies in computational intelligence
Издание: 1st ed. 2023
Иллюстрации: 70 illustrations, color; 26 illustrations, black and white; vi, 209 p. 96 illus., 70 illus. in color.; 70 illustrations, color; 26 illustrations, blac
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.
Дополнительное описание: Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup.- Metaheuristic algorithms in IoT: Optimized Edge Node Localization.- Jaya algorithm versus differential evolution: a comparative case study on optic disc localization in eye f

Engineering Applications of Modern Metaheuristics, Taymaz Akan, Ahmed M. Anter, A. ?ima Etaner-Uyar,