Handbook of Nature-inspired Optimization Algorithms - the State of the Art: Solving Single Objective Bound-constrained Real-parameter Numerical Optimization Problems: Vol 1

Mohamed, Ali (Editor)/ Oliva, Diego (Editor)/ Suganthan, Ponnuthurai Nagaratnam (Editor)

ISBN 10: 3031075145 / ISBN 13: 9783031075148

Edité par Springer Nature, 2023

A propos de cet article

289 pages. 9.25x6.10x0.61 inches. In Stock.

N° de réf. du vendeur x-3031075145

Détails bibliographiques

• Titre: Handbook of Nature-inspired Optimization Algorithms - the State of the Art: Solving Single Objective Bound-constrained Real-parameter Numerical Optimization Problems: Vol 1
• Éditeur: Springer Nature
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 3031075145
• ISBN à 13 chiffres: 9783031075148
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.