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.
Tabella dei contenuti
Introduction.- METAHEURISTICS AND DATA CLUSTERING.- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM.- SEARCH strategy Flower Pollination Algorithm with Differential Evolution.
Lingua Inglese ● Formato PDF ● Pagine 163 ● ISBN 9783030040970 ● Dimensione 7.0 MB ● Casa editrice Springer International Publishing ● Città Cham ● Paese CH ● Pubblicato 2018 ● Scaricabile 24 mesi ● Moneta EUR ● ID 6774803 ● Protezione dalla copia DRM sociale