Fast Artificial Bee Colony for Clustering

Abstract

Artificial Bee Colony (ABC) is one of good heuristic intelligent algorithm to solve optimization problem including clustering. Generally, the heuristic algorithm will take the high computation time to solve optimization problem. Likewise, ABC also consumes the much time  to solve clustering problem. This paper intends solving clustering problem using ABC with focusing reduction computation time called FABCC. This idea proposes detecting the pattern of redundant process then compacting it to effective process to diminish the computation process. There are five data sets to be used to prove the performance of FABCC.  The results shows that FABCC is effective to prune the duration process up to 46.58 %.

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Authors

  • Abba Suganda Girsang Bina Nusanatara University
  • Yohan Mulyono Bina Nusanatara University
  • Fanny Fanny Bina Nusanatara University

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Published

10/10/2017

How to Cite

Girsang, A. S., Mulyono, Y., & Fanny, F. (2017). Fast Artificial Bee Colony for Clustering. Informatica, 42(2). Retrieved from https://www.informatica.si/index.php/informatica/article/view/1531

Issue

Vol. 42 No. 2 (2018)

Section

Regular papers

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