Produktnummer:
187d0dc232f49240fca9e1c697c8a797b2
| Themengebiete: | Evolutionary Algorithms Metaheuristics NIOAs Nature-Inspired Optimization Algorithms Optimization |
|---|---|
| Veröffentlichungsdatum: | 01.09.2022 |
| EAN: | 9783031075117 |
| Sprache: | Englisch |
| Seitenzahl: | 279 |
| Produktart: | Gebunden |
| Herausgeber: | Mohamed, Ali Oliva, Diego Suganthan, Ponnuthurai Nagaratnam |
| Verlag: | Springer International Publishing |
| Untertitel: | Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems |
Produktinformationen "Handbook of Nature-Inspired Optimization Algorithms: The State of the Art"
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.
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