Hybrid step size based cuckoo search

Cuckoo Search is a metaheuristic optimization method which uses obligate brood parasitic conduct of cuckoos. Successive moves (steps) of a cuckoo are basically drawn from a process which uses biased random walk and follows power law step-length distribution with a heavy tail. Therefore, quick conver...

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Bibliographic Details
Published in2017 Tenth International Conference on Contemporary Computing (IC3) pp. 1 - 6
Main Authors Pandey, Avinash Chandra, Rajpoot, Dharmveer Singh, Saraswat, Mukesh
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2017
Subjects
Birds
Convergence
Cuckoo Search
Gauss distribution
Hybrid step size
Levy flight
Metaheuristic method
Search methods
Sociology
Space exploration
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Summary:Cuckoo Search is a metaheuristic optimization method which uses obligate brood parasitic conduct of cuckoos. Successive moves (steps) of a cuckoo are basically drawn from a process which uses biased random walk and follows power law step-length distribution with a heavy tail. Therefore, quick convergence and precision cannot be assured in most of the cases. To resolve the convergence and accuracy problem this paper proposes a novel cuckoo search method which uses Lévy flight and Gauss distribution in alternate iteration along with variable P a and a. The experimental outcomes validate that the proposed method outperforms the existing methods.
ISSN:2572-6129
DOI:10.1109/IC3.2017.8284285