Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

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160,49 

Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems, Studies in Systems, Decision and Control 212

ISBN: 3031075145
ISBN 13: 9783031075148
Herausgeber: Ali Mohamed/Diego Oliva/Ponnuthurai Nagaratnam Suganthan
Verlag: Springer Verlag GmbH
Umfang: x, 279 S., 21 s/w Illustr., 73 farbige Illustr., 279 p. 94 illus., 73 illus. in color.
Erscheinungsdatum: 02.09.2023
Auflage: 1/2023
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 430807 Kategorie:

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.

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E-Mail: juergen.hartmann@springer.com

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