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

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

Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems de

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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2022-08-31

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Description

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.
Pages
279 pages
Collection
Studies in Systems, Decision and Control
Parution
2022-08-31
Marque
Springer
EAN papier
9783031075117
EAN PDF
9783031075124
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
10742 Ko
Prix
147,69 €
EAN EPUB
9783031075124
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
41206 Ko
Prix
147,69 €

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