UID:
almahu_9948030302402882
Format:
IX, 163 p. 78 illus., 59 illus. in color.
,
online resource.
ISBN:
9783030040970
Series Statement:
Intelligent Systems Reference Library, 152
Content:
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.
Note:
Introduction -- METAHEURISTICS AND DATA CLUSTERING -- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM -- SEARCH strategy Flower Pollination Algorithm with Differential Evolution. .
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030040963
Additional Edition:
Printed edition: ISBN 9783030040987
Language:
English
DOI:
10.1007/978-3-030-04097-0
URL:
https://doi.org/10.1007/978-3-030-04097-0
URL:
Volltext
(URL des Erstveröffentlichers)
