Applications of Cuckoo Search Algorithm and its Variants

  • Nilanjan Dey

Part of the Springer Tracts in Nature-Inspired Computing book series (STNIC)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Atreyee Mondal, Nilanjan Dey, Amira S. Ashour
    Pages 1-20
  3. F. B. Ozsoydan, İ. Gölcük
    Pages 47-77
  4. Adit Kotwal, Jai Kotia, Rishika Bharti, Ramchandra Mangrulkar
    Pages 101-122
  5. Serdar Carbas, Ibrahim Aydogdu
    Pages 123-145
  6. G. García-Gutiérrez, D. Arcos-Aviles, E. V. Carrera, F. Guinjoan, A. Ibarra, P. Ayala
    Pages 175-206
  7. Akalpita Das, Himanish Shekhar Das, Himadri Shekhar Das
    Pages 207-228

About this book


This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.


Firefly Algorithm Optimization Nature-Inspired Computing Meta-Heuristics Cuckoo Search

Editors and affiliations

  • Nilanjan Dey
    • 1
  1. 1.Department of Information TechnologyTechno International New TownKolkataIndia

Bibliographic information