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商品詳細
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems. 2022 ed.
・ISBN 978-3-031-07514-8 paper EUR 149.99
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| 著者・編者 | Mohamed, Ali / Oliva, Diego / Suganthan, Ponnuthurai Nagaratnam (eds.), |
|---|---|
| シリーズ | (Studies in Systems, Decision and Control) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2023 |
| ページ数 | 279 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-17645＞ |
解説
The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.
The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.