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.
Table des matières
Introduction.- METAHEURISTICS AND DATA CLUSTERING.- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM.- SEARCH strategy Flower Pollination Algorithm with Differential Evolution.
Langue Anglais ● Format PDF ● Pages 163 ● ISBN 9783030040970 ● Taille du fichier 7.0 MB ● Maison d’édition Springer International Publishing ● Lieu Cham ● Pays CH ● Publié 2018 ● Téléchargeable 24 mois ● Devise EUR ● ID 6774803 ● Protection contre la copie DRM sociale