Buch, Englisch, 324 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 731 g
Buch, Englisch, 324 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 731 g
Reihe: Springer Tracts in Nature-Inspired Computing
ISBN: 978-981-15-5162-8
Verlag: Springer Nature Singapore
This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Cuckoo Search Algorithm for Parametric Data Fitting of Characteristic Curves of the Van der Waals Equation of State.- Cuckoo search algorithm with various walks.- Cuckoo search algorithm: Statistical-based optimization approach and engineering applications.- Training a Feed Forward Neural Network using Cuckoo Search.- A Cuckoo Search Algorithm Inspired Membrane Systems to Solve Optimization Problems.- Cuckoo Search for Optimum Design of Real-Sized High-Level Steel Frames.