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

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

279 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Studies in Systems, Decision and Control
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9783031075148
• Sprache: Englisch
• Erscheinungsdatum: 02.09.2023
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan