Mohamed / Oliva / Suganthan | Handbook of Nature-Inspired Optimization Algorithms: The State of the Art | E-Book | sack.de
E-Book

E-Book, Englisch, Band 213, 214 Seiten, eBook

Reihe: Studies in Systems, Decision and Control

Mohamed / Oliva / Suganthan Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems
1. Auflage 2022
ISBN: 978-3-031-07516-2
Verlag: Springer International Publishing
Format: PDF
 Kopierschutz: 1 - PDF Watermark

Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems

E-Book, Englisch, Band 213, 214 Seiten, eBook

Reihe: Studies in Systems, Decision and Control

ISBN: 978-3-031-07516-2
Verlag: Springer International Publishing
Format: PDF
 Kopierschutz: 1 - PDF Watermark

This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency.The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduateclass on optimization, but will also be useful for interested senior students working on their research projects.
Mohamed / Oliva / Suganthan Handbook of Nature-Inspired Optimization Algorithms: The State of the Art jetzt bestellen!

Zielgruppe

Research

Autoren/Hrsg.

Mohamed, Ali Wagdy
Oliva, Diego
Suganthan, Ponnuthurai Nagaratnam

Weitere Infos & Material

Particle swarm optimization based optimization for in-dustry inspection.- Ant Algorithms: from Drawback Identification to Quality and Speed Improvement.- Fault location techniques based on traveling waves with application in the protection of distribution systems with renewable energy and particle swarm optimization.- Improved Particle Swarm Optimization and Non-Quadratic Penalty Method for Non-Linear Programming Problems with Equality Constraints.- Recent Trends in Face Recognition Using Metaheuristic Optimization.

Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.