Cuckoo Search Algorithm using Lèvy Flight: A Review

Cuckoo Search Algorithm using Lèvy Flight: A Review

Автор: Sangita Roy, Sheli Sinha Chaudhuri

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 12 vol.5, 2013 года.

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Cuckoo Search (CS) is a new metaheuristic algorithm. It is being used for solving optimization problem. It was developed in 2009 by Xin- She Yang and Suash 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.

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Cuckoo search, Lèvy Flight, Obligatory brood parasitism, NP-hard problem, Markov Chain, Hill climbing, Heavy-tailed algorithm

Короткий адрес: https://sciup.org/15014608

IDR: 15014608

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