The Black Hole Clustering Algorithm Based on Membrane Computing

DOI

10.2991/isci-15.2015.121How to use a DOI?

Keywords

The Black Hole Clustering Algorithm Based on Membrane Computing

Abstract

Over the last few decades, nature has stimulated many successful heuristic optimization methods and computational tools for dealing with optimization problems. In this paper, we investigate the black hole clustering algorithm based on membrane computing. Formally, we embed the black hole clustering algorithm in the membrane structure, provide the three parts of the membrane system to perform black hole clustering algorithm, which are the membrane structure based on membrane computing, the objects in elementary membrane and the evolution rules in the elementary membrane, and analyze the performance of the black hole clustering algorithm based on membrane computing. The proposed algorithm in the paper is compared with some other classical algorithms, and the simulation results indicate the algorithm in the paper can achieve better performance in clustering.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qian Li
AU  - Zheng Pei
PY  - 2015/01
DA  - 2015/01
TI  - The Black Hole Clustering Algorithm Based on Membrane Computing
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 907
EP  - 918
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.121
DO  - 10.2991/isci-15.2015.121
ID  - Li2015/01
ER  -