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

Softcover - 9783031075148
160,49 €
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Hardcover - 9783031075117
160,49 €

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Weitere Formate

Hardcover - 9783031075117
160,49 €

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

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