Modeling an Artificial Bee Colony with Inspector for Clustering Tasks

  • Cosimo Birtolo
  • Giovanni Capasso
  • Davide Ronca
  • Gennaro Sorrentino
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8600)


Artificial Bee Colony (ABC) is a recent meta-heuristic approach. In this paper we face the problem of clustering by ABC and we model a further bee role in the colony, performed by inspector bee. This model conforms with real honey bee colony, indeed, in nature some bees among the foraging ones are called inspectors because they preserve the colony’s history and historical information related to food sources. We experiment inspector behavior in ABC and compare the solution to traditional clustering algorithm. Finally, the effect of colony size is investigated and experimental results are discussed.


Artificial Bee Colony Soft Computing Clustering Inspector Data Mining 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Cosimo Birtolo
    • 1
  • Giovanni Capasso
    • 1
  • Davide Ronca
    • 1
  • Gennaro Sorrentino
    • 1
  1. 1.S - FSTI - R&D CenterPoste Italiane – Information TechnologyNaplesItaly

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