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Titolo: | Applications of Cuckoo Search Algorithm and its Variants / / edited by Nilanjan Dey |
Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Edizione: | 1st ed. 2021. |
Descrizione fisica: | 1 online resource (328 pages) |
Disciplina: | 025.524 |
Soggetto topico: | Computational intelligence |
Algorithms | |
Mathematical optimization | |
Computational Intelligence | |
Algorithm Analysis and Problem Complexity | |
Continuous Optimization | |
Persona (resp. second.): | DeyNilanjan |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Applications of Cuckoo Search Algorithm and its Variants |
ISBN: | 981-15-5163-4 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910768467803321 |
Lo trovi qui: | Univ. Federico II |
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