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Cuckoo Search and Firefly Algorithm

Theory and Applications

  • Book
  • © 2014

Overview

Editors:
  1. Xin-She Yang

    1. School of Science and Technology, Middlesex University, London, United Kingdom

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  • Summary of the latest developments of cuckoo search and firefly algorithm and their diverse applications
  • Reviews both theoretical studies and applications with detailed algorithm analysis, implementation and case studies
  • Written by an expert in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 516)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Cuckoo Search and Firefly Algorithm: Overview and Analysis

    • Xin-She Yang
    Pages 1-26

  3. On the Randomized Firefly Algorithm

    • Iztok Fister, Xin-She Yang, Janez Brest, Iztok Fister Jr.
    Pages 27-48

  4. Cuckoo Search: A Brief Literature Review

    • Iztok Fister Jr., Xin-She Yang, DuÅ¡an Fister, Iztok Fister
    Pages 49-62

  5. Improved and Discrete Cuckoo Search for Solving the Travelling Salesman Problem

    • Aziz Ouaarab, Belaïd Ahiod, Xin-She Yang
    Pages 63-84

  6. Comparative Analysis of the Cuckoo Search Algorithm

    • Pinar Civicioglu, Erkan Besdok
    Pages 85-113

  7. Cuckoo Search and Firefly Algorithm Applied to Multilevel Image Thresholding

    • Ivona Brajevic, Milan Tuba
    Pages 115-139

  8. A Binary Cuckoo Search and Its Application for Feature Selection

    • L. A. M. Pereira, D. Rodrigues, T. N. S. Almeida, C. C. O. Ramos, A. N. Souza, X.-S. Yang et al.
    Pages 141-154

  9. How to Generate the Input Current for Exciting a Spiking Neural Model Using the Cuckoo Search Algorithm

    • Roberto A. Vazquez, Guillermo Sandoval, Jose Ambrosio
    Pages 155-178

  10. Multi-Objective Optimization of a Real-World Manufacturing Process Using Cuckoo Search

    • Anna Syberfeldt
    Pages 179-193

  11. Solving Reliability Optimization Problems by Cuckoo Search

    • Ehsan Valian
    Pages 195-215

  12. Hybridization of Cuckoo Search and Firefly Algorithms for Selecting the Optimal Solution in Semantic Web Service Composition

    • Ioan Salomie, Viorica Rozina Chifu, Cristina Bianca Pop
    Pages 217-243

  13. Geometric Firefly Algorithms on Graphical Processing Units

    • A. V. Husselmann, K. A. Hawick
    Pages 245-269

  14. A Discrete Firefly Algorithm for Scheduling Jobs on Computational Grid

    • Adil Yousif, Sulaiman Mohd Nor, Abdul Hanan Abdullah, Mohammed Bakri Bashir
    Pages 271-290

  15. A Parallelised Firefly Algorithm for Structural Size and Shape Optimisation with Multimodal Constraints

    • Herbert Martins Gomes, Adelano Esposito
    Pages 291-314

  16. Intelligent Firefly Algorithm for Global Optimization

    • Seif-Eddeen K. Fateen, Adrián Bonilla-Petriciolet
    Pages 315-330

  17. Optimization of Queueing Structures by Firefly Algorithm

    • Joanna KwiecieÅ„, BogusÅ‚aw Filipowicz
    Pages 331-346

  18. Firefly Algorithm: A Brief Review of the Expanding Literature

    • Iztok Fister, Xin-She Yang, DuÅ¡an Fister, Iztok Fister Jr.
    Pages 347-360
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Keywords

About this book

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.

 

Editors and Affiliations

  • School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

Bibliographic Information

  • Book Title: Cuckoo Search and Firefly Algorithm

  • Book Subtitle: Theory and Applications

  • Editors: Xin-She Yang

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-02141-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-02140-9Published: 13 November 2013

  • Softcover ISBN: 978-3-319-37536-6Published: 23 August 2016

  • eBook ISBN: 978-3-319-02141-6Published: 31 October 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XI, 360

  • Number of Illustrations: 95 b/w illustrations, 5 illustrations in colour

  • Topics: Computational Intelligence, Image Processing and Computer Vision

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