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Beschreibung
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.Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 02. September 2023 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 446 Gramm |
| Format | Softcover |
| ISBN-13 | 9783031075148 |
| Auflage | 1st edition 2022 |
| Seiten | 279 |