Cuckoo Search Algorithm using Lèvy Flight: A Review

  • Roy S
  • Sinha Chaudhuri S
N/ACitations
Citations of this article
69Readers
Mendeley users who have this article in their library.

Abstract

─ Cuckoo Search (CS) is a new met heuristic algorithm. It is being used for solving optimization problem. It was developed in 2009 by Xin- She Yang and Susah Deb. Uniqueness of this algorithm is the obligatory brood parasitism behavior of some cuckoo species along with the Levy Flight behavior of some birds and fruit flies. Cuckoo Hashing to Modified CS have also been discussed in this paper. CS is also validated using some test functions. After that CS performance is compared with those of GAs and PSO. It has been shown that CS is superior with respect to GAs and PSO. At last, the effect of the experimental results are discussed and proposed for future research.

Cite

CITATION STYLE

APA

Roy, S., & Sinha Chaudhuri, S. (2013). Cuckoo Search Algorithm using Lèvy Flight: A Review. International Journal of Modern Education and Computer Science, 5(12), 10–15. https://doi.org/10.5815/ijmecs.2013.12.02

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free