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.
Зміст
Introduction.- METAHEURISTICS AND DATA CLUSTERING.- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM.- SEARCH strategy Flower Pollination Algorithm with Differential Evolution.
Мова Англійська ● Формат PDF ● Сторінки 163 ● ISBN 9783030040970 ● Розмір файлу 7.0 MB ● Видавець Springer International Publishing ● Місто Cham ● Країна CH ● Опубліковано 2018 ● Завантажувані 24 місяців ● Валюта EUR ● Посвідчення особи 6774803 ● Захист від копіювання Соціальний DRM