Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
Buch
- Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
- Herausgeber: Ali Mohamed, Ponnuthurai Nagaratnam Suganthan, Diego Oliva
- Springer International Publishing, 09/2023
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783031075148
- Bestellnummer: 11593836
- Umfang: 292 Seiten
- Nummer der Auflage: 23001
- Auflage: 1st ed. 2022
- Gewicht: 446 g
- Maße: 235 x 155 mm
- Stärke: 16 mm
- Erscheinungstermin: 2.9.2023
- Serie: Studies in Systems, Decision and Control - Band 212
Achtung: Artikel ist nicht in deutscher Sprache!
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Klappentext
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.