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A Hybrid Bumble Bees Mating Optimization - GRASP Algorithm for Clustering

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Hybrid Artificial Intelligence Systems (HAIS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5572))

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Abstract

A new hybrid algorithm for clustering, which is based on the concepts of the Bumble Bees Mating Optimization (BBMO) and Greedy Randomized Adaptive Search Procedure (GRASP), is presented in this paper. The proposed algorithm is a two phase algorithm which combines a new algorithm called Bumble Bees Mating Optimization algorithm for the solution of the feature selection problem and a GRASP algorithm for the solution of the clustering problem. The performance of the algorithm is compared with other popular metaheuristic and nature inspired methods using datasets from the UCI Machine Learning Repository. The high performance of the proposed algorithm is achieved as the algorithm gives very good results and in some instances the percentage of the correct clustered samples is very high and is larger than 98%.

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Author information

Authors and Affiliations

  1. Decision Support Systems Laboratory, Department of Production Engineering and Management, Technical University of Crete, 73100, Chania, Greece

    Yannis Marinakis & Nikolaos Matsatsinis

  2. Industrial Systems Control Laboratory, Department of Production Engineering and Management, Technical University of Crete, 73100, Chania, Greece

    Magdalene Marinaki

Authors
  1. Yannis Marinakis
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  2. Magdalene Marinaki
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  3. Nikolaos Matsatsinis
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Editor information

Editors and Affiliations

  1. Grupo de Investigación GICAP, Área de Lenguajes Higher Polytechnic School, Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  2. Department of Computer Science, University of Vermont, 33 Colchester Avenue, Burlington, VT, USA

    Xindong Wu

  3. Computer and Information Science, Helsinki University of Technology, P.O. Box 5400, 02015 HUT, Finland

    Erkki Oja

  4. Grupo de Investigación GICAP, Área de Lenguajes y Sistemas Informáticos, Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Burgos, Campus Vena, Francisco de Vitoria, 09006, Burgos, Spain

    Álvaro Herrero  & Bruno Baruque  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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Marinakis, Y., Marinaki, M., Matsatsinis, N. (2009). A Hybrid Bumble Bees Mating Optimization - GRASP Algorithm for Clustering. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds) Hybrid Artificial Intelligence Systems. HAIS 2009. Lecture Notes in Computer Science(), vol 5572. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02319-4_66

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  • DOI: https://doi.org/10.1007/978-3-642-02319-4_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02318-7

  • Online ISBN: 978-3-642-02319-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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