Metaheuristics for data clustering and image segmentation /
[Book]
Meera Ramadas, Ajith Abraham.
Cham, Switzerland :
Springer,
[2019]
1 online resource
Intelligent systems reference library ;
volume 152
Includes bibliographical references.
Introduction -- METAHEURISTICS AND DATA CLUSTERING -- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM -- SEARCH strategy Flower Pollination Algorithm with Differential Evolution.
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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.
Springer Nature
com.springer.onix.9783030040970
Metaheuristics for data clustering and image segmentation.