by Ajith Abraham (Author), Ajith Abraham (Author), Meera Ramadas (Author)
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.
Format: Hardcover
Pages: 176
Edition: 1st ed. 2019
Publisher: Springer
Published: 31 Jan 2019
ISBN 10: 3030040968
ISBN 13: 9783030040963