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Record Nr. |
UNINA9910484863203321 |
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Autore |
Ramadas Meera |
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Titolo |
Metaheuristics for Data Clustering and Image Segmentation [[electronic resource] /] / by Meera Ramadas, Ajith Abraham |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (167 pages) |
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Collana |
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Intelligent Systems Reference Library, , 1868-4394 ; ; 152 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Optical data processing |
Algorithms |
Computational Intelligence |
Artificial Intelligence |
Image Processing and Computer Vision |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- METAHEURISTICS AND DATA CLUSTERING -- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM -- SEARCH strategy Flower Pollination Algorithm with Differential Evolution. . |
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Sommario/riassunto |
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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. |
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