Cuckoo Search and Firefly Algorithm - Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2014)

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.  

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 516
Release date:	August 2016
First published:	2014
Editors:	Xin-She Yang
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	360
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-37536-6
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Mathematics > Optimization > General Promotions
LSN:	3-319-37536-9
Barcode:	9783319375366

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