株式会社極東書店トップ ＞ 商品一覧 ＞ A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R).
商品詳細
A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R).
・ISBN 978-0-367-49426-1 hard GB£ 103.99
￥32,943.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Ponce-Cruz, Pedro / Gutierrez, Arturo Molina / Ramirez-Mendoza, Ricardo A. / Flores, Efrain Mendez / Espinoza, Alexandro Antonio Ortiz / Silva, David Christopher Balderas, |
|---|---|
| シリーズ | (Chapman & Hall/CRC Computer and Information Science Series) |
| 出版社 | (Chapman & Hall/CRC, UK) |
| 出版年月 | 2020 |
| ページ数 | 160 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A00-59091＞ |
解説
Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB (R) and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems.
The unique features of this book are as follows:
- Developed for researchers, undergraduate and graduate students, and practitioners
- A friendly description of the main metaheuristic optimization algorithms
- Theoretical and practical optimization examples
- A new earthquake optimization algorithm
- Updated state-of-the-art and research optimization projects
The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.