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Clustering using Levy Flight Cuckoo Search

Senthilnath, J and Das, Vipul and Omkar, SN and Mani, V (2013) Clustering using Levy Flight Cuckoo Search. In: 7th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) , DEC 14-16, 2012, ABV Indian Inst Informat Technol & Management Gwalior, Madhya Pradesh, INDIA, pp. 65-75.

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Official URL: http://dx.doi.org/10.1007/978-81-322-1041-2_6

Abstract

In this paper, a comparative study is carried using three nature-inspired algorithms namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Cuckoo Search (CS) on clustering problem. Cuckoo search is used with levy flight. The heavy-tail property of levy flight is exploited here. These algorithms are used on three standard benchmark datasets and one real-time multi-spectral satellite dataset. The results are tabulated and analysed using various techniques. Finally we conclude that under the given set of parameters, cuckoo search works efficiently for majority of the dataset and levy flight plays an important role.

Item Type: Conference Paper
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Additional Information: Copyright for this article belongs to SPRINGER-VERLAG BERLIN, GERMANY
Keywords: Genetic algorithm;Particle swarm optimization;Cuckoo search;Levy flight;Clustering
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 22 Mar 2013 12:13
Last Modified: 27 Mar 2013 06:27
URI: http://eprints.iisc.ernet.in/id/eprint/46178

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