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The code of paper "Xianghua Li, Xin Qi, Xingjian Liu, Chao Gao, Zhen Wang, Fan Zhang, Jiming Liu, A discrete moth-flame optimization with an L2-norm constraint for network clustering, IEEE Transactions on Network Science and Engineering 2022".

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DMFO-TNSE2022

The code related to the paper below:Xianghua Li, Xin Qi, Xingjian Liu, Chao Gao, Zhen Wang, Fan Zhang, Jiming Liu, A discrete moth-flame optimization with an L2-norm constraint for network clustering, IEEE Transactions on Network Science and Engineering, 2022, doi:10.1109/TNSE.2022.3153095.

Run

MDMFO.m is used to adjust the value of parameters and to change the needed datasets.

the files in the flod Datasets are all needed datasets in the paper.

Reference

If you make advantage of DMFO in your research, please cite the following in your manuscript:

@article{gao2022novel,
  title={A discrete moth-flame optimization with an L2-norm constraint for network clustering},
  author={Xianghua Li and Xin Qi and Xingjian Liu and Chao Gao and Zhen Wang and Fan Zhang and Jiming Liu},
  journal={IEEE Transactions on Network Science and Engineering},
  year={2022},
  doi={10.1109/TNSE.2022.3153095} 
  publisher={IEEE}
}

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The code of paper "Xianghua Li, Xin Qi, Xingjian Liu, Chao Gao, Zhen Wang, Fan Zhang, Jiming Liu, A discrete moth-flame optimization with an L2-norm constraint for network clustering, IEEE Transactions on Network Science and Engineering 2022".

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