Electronic Resource

Cuckoo Search and Firefly Algorithm : Theory and Applications

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000180	EB0000266	006.3 Cuc	Central Library	Available

Detail Information

Series Title

Studies in Computational Intelligence

Call Number

006.3 Cuc

Publisher

Switzerland : Springer Cham., 2013

Collation

xi, 360p.: Ill.

Language

English

ISBN/ISSN

978-3-319-02141-6

Classification

006.3

Content Type

Text

Media Type

-

Carrier Type

-

Edition

1

Subject(s)

Computational Intelligence
Mathematical optimization--Data processing

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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