Research on Image Clustering Based on Evolutionary Programming Algorithm

DOI

10.2991/mmssa-18.2019.42How to use a DOI?

Keywords

evolutionary programming; image clustering; swarm intelligence

Abstract

Evolutionary programming algorithm is applied to the problem of image clustering. The solution of the problem is encoded by the symbol coding, and swarm intelligent model is used to search the solution of the problem. In evolutionary programming algorithm, the global search ability is effectively improved by mutation operator and selection operator. The excellent diversity of solutions is guaranteed by using Gaussian mutation operator, and the complexity of the evolutionary operation is reduced. The simulation experiments show that the proposed algorithm for image clustering is effective and correct.

Copyright

© 2019, 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  - She Liu
AU  - Shuying Yang
PY  - 2019/01
DA  - 2019/01
TI  - Research on Image Clustering Based on Evolutionary Programming Algorithm
BT  - Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
PB  - Atlantis Press
SP  - 175
EP  - 178
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmssa-18.2019.42
DO  - 10.2991/mmssa-18.2019.42
ID  - Liu2019/01
ER  -