|
 Название: Recent Metaheuristics Algorithms for Parameter Identification (Studies in Computational Intelligence Book 854)
Автор: Erik Cuevas, Jorge Gálvez, Omar Avalos
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 305
Размер: 20.1 Mb
Язык: English
This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks.
|
Автор: buratino 25-04-2020, 03:45 | Напечатать
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
|
|
|
Разделы сайта
Авторизация
Реклама
Recent Metaheuristics Algorithms for Parameter Identification 
