Title	Metaheuristics for Data Clustering and Image Segmentation [electronic resource] / by Meera Ramadas, Ajith Abraham
Imprint	Cham : Springer International Publishing : Imprint: Springer, 2019
Connect to	https://doi.org/10.1007/978-3-030-04097-0
Descript	IX, 163 p. 78 illus., 59 illus. in color. online resource

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

Introduction -- METAHEURISTICS AND DATA CLUSTERING -- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM -- SEARCH strategy Flower Pollination Algorithm with Differential Evolution.