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Metaheuristics for Data Clustering and Image Segmentation / / by Meera Ramadas, Ajith Abraham



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Autore: Ramadas Meera Visualizza persona
Titolo: Metaheuristics for Data Clustering and Image Segmentation / / by Meera Ramadas, Ajith Abraham Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (167 pages)
Disciplina: 006.3019
Soggetto topico: Computational intelligence
Artificial intelligence
Optical data processing
Algorithms
Computational Intelligence
Artificial Intelligence
Image Processing and Computer Vision
Persona (resp. second.): AbrahamAjith
Nota di contenuto: Introduction -- METAHEURISTICS AND DATA CLUSTERING -- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM -- SEARCH strategy Flower Pollination Algorithm with Differential Evolution. .
Sommario/riassunto: In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics.
Titolo autorizzato: Metaheuristics for Data Clustering and Image Segmentation  Visualizza cluster
ISBN: 3-030-04097-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484863203321
Lo trovi qui: Univ. Federico II
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Serie: Intelligent Systems Reference Library, . 1868-4394 ; ; 152