Handbook of Nature-Inspired Optimization Algorithms: The State of the Art - Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems

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.

Sommario

Chaotic-SCA Salp Swarm Algorithm Enhanced with Opposition Based Learning:  Application to Decrease Carbon Footprint in Patient Flow.- Design and Performance Evaluation of Objective Functions Based on Various Measures of Fuzzy Entropies for Image Segmentation using Grey Wolf Optimization.- Improved Artificial Bee Colony Algorithm with Adaptive Pursuit Based Strategy Selection.- Beetle Antennae Search Algorithm for the Motion Planning of Industrial Manipulator.- Solving Optimal Power Flow with Considering Placement of TCSC and FACTS Cost Using Cuckoo Search Algorithm.

Dettagli sul prodotto

• Con la collaborazione di: Ali Mohamed (Editore), Ponnuthurai Nagaratnam Suganthan (Editore), Diego Oliva (Editore), Ponnuthurai Nagaratnam Suganthan (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.09.2022
• EAN: 9783031075117
• ISBN: 978-3-0-3107511-7
• Pagine: 279
• Dimensioni: 155 mm x 19 mm x 235 mm
• Illustrazioni: X, 279 p. 94 illus., 73 illus. in color.
• Serie: Studies in Systems, Decision and Control
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie