Cuckoo Search and Firefly Algorithm

Cuckoo Search and Firefly Algorithm

EnglishHardbackPrint on demand
Yang, Xin She
Springer, Berlin
EAN: 9783319021409
Print on demand
Delivery on Friday, 20. of December 2024
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Detailed information

Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others.

This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.

 

EAN 9783319021409
ISBN 3319021400
Binding Hardback
Publisher Springer, Berlin
Publication date November 13, 2013
Pages 360
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Yang, Xin She
Illustrations XI, 360 p. 100 illus., 5 illus. in color.
Editors Yang Xin-She
Series Studies in Computational Intelligence