Office of Academic Resources
Chulalongkorn University
Chulalongkorn University

Home / Help

TitleMetaheuristics for Data Clustering and Image Segmentation [electronic resource] / by Meera Ramadas, Ajith Abraham
ImprintCham : Springer International Publishing : Imprint: Springer, 2019
Connect tohttps://doi.org/10.1007/978-3-030-04097-0
Descript IX, 163 p. 78 illus., 59 illus. in color. online resource

SUMMARY

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


CONTENT

Introduction -- METAHEURISTICS AND DATA CLUSTERING -- REVISED MUTATION STRATEGY FOR DIFFERENTIAL EVOLUTION ALGORITHM -- SEARCH strategy Flower Pollination Algorithm with Differential Evolution.


Engineering Artificial intelligence Computer vision Algorithms Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014 Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000 Image Processing and Computer Vision. http://scigraph.springernature.com/things/product-market-codes/I22021 Algorithms. http://scigraph.springernature.com/things/product-market-codes/M14018



Location



Office of Academic Resources, Chulalongkorn University, Phayathai Rd. Pathumwan Bangkok 10330 Thailand

Contact Us

Tel. 0-2218-2929,
0-2218-2927 (Library Service)
0-2218-2903 (Administrative Division)
Fax. 0-2215-3617, 0-2218-2907

Social Network

  line

facebook   instragram