| 书目名称 | Recent Metaheuristics Algorithms for Parameter Identification |
| 编辑 | Erik Cuevas,Jorge Gálvez,Omar Avalos |
| 视频video | |
| 概述 | Discusses new, alternative metaheuristic developments that have proved to be effective in various complex problems.Introduces novel metaheuristic methods and their practical applications.Bridges the g |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Book 2020 |
| 关键词 | Metaheuristic Methods; Identification Systems; Gravitational Search Algorithm; Crow Search Algorithm; En |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-28917-1 |
| isbn_softcover | 978-3-030-28919-5 |
| isbn_ebook | 978-3-030-28917-1Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 18:12:56
