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Cuckoo Search and Firefly Algorithm

Cuckoo Search and Firefly Algorithm

Cuckoo Search and Firefly Algorithm
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Cuckoo Search and Firefly Algorithm Hardback - - 2014th Edition

by Xin-She Yang (Editor)

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Springer , pp. 374 . Hardback. New.
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Details

  • Title Cuckoo Search and Firefly Algorithm
  • Author Xin-She Yang (Editor)
  • Binding Hardback
  • Edition number 2014th
  • Edition 2014
  • Condition New
  • Pages 360
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date pp. 374
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 697874705
  • ISBN 9783319021409 / 3319021400
  • Weight 1.54 lbs (0.70 kg)
  • Dimensions 9.21 x 6.14 x 0.88 in (23.39 x 15.60 x 2.24 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - Other Applications
  • Dewey Decimal Code 006.3
  • Quantity available 4

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Reader reviews for Cuckoo Search and Firefly Algorithm

From the publisher

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.

From the rear cover

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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