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Metaheuristics for Data Clustering and Image Segmentation: 152 (Intelligent Systems Reference Library, 152) - Hardcover

Book 123 of 188: Intelligent Systems Reference Library

Ramadas, Meera; Abraham, Ajith

 
9783030040963: Metaheuristics for Data Clustering and Image Segmentation: 152 (Intelligent Systems Reference Library, 152)

Synopsis

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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From the Back Cover

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.


"About this title" may belong to another edition of this title.