Clustering Using Levy Flight Cuckoo Search

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 202)

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.

Keywords

Genetic algorithm Particle swarm optimization Cuckoo search Levy flight Clustering 

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Copyright information

© Springer India 2013

Authors and Affiliations

  • J. Senthilnath
    • 1
  • Vipul Das
    • 2
  • S. N. Omkar
    • 1
  • V. Mani
    • 1
  1. 1.Department of Aerospace EngineeringIndian Institute of ScienceBangaloreIndia
  2. 2.Department of Information TechnologyNational Institute of TechnologySurathkalIndia

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