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.
Daftar Isi
Introduction.- METAHEURISTICS AND DATA CLUSTERING.- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM.- SEARCH strategy Flower Pollination Algorithm with Differential Evolution.
Bahasa Inggris ● Format PDF ● Halaman 163 ● ISBN 9783030040970 ● Ukuran file 7.0 MB ● Penerbit Springer International Publishing ● Kota Cham ● Negara CH ● Diterbitkan 2018 ● Diunduh 24 bulan ● Mata uang EUR ● ID 6774803 ● Perlindungan salinan DRM sosial