IEEE Computational Intelligence Magazine - May 2023 - 59

initialization, network reconstruction, and optimization) to implement
highly accurate CD for multilayer networks. The experimental
results on various real-world and synthetic networks show
that MOEA-CPI outperforms other state-of-the-art algorithms.
Furthermore, a robustness analysis proves that MOEA-CPI
achieves better robustness than the other comparison algorithms.
Our future work will commit to reducing the computational time
ofthe algorithm to make it a better asset for large-scale networks.
Acknowledgments
This work was supported by the National Key R&D Program (no.
2022YFE0112300); the National Natural Science Foundation for
Distinguished Young Scholars (no. 62025602); the National Natural
Science Foundation of China (nos. 62261136549, 61976181,
62271411, and U22B2036); and the Tencent Foundation and
XPLORERPRIZE.
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MAY 2023 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 59
http://dx.doi.org/10.1109/TCYB.2022.3159661 http://dx.doi.org/10.1109/TNNLS.2022.3224577 http://dx.doi.org/10.1109/TKDE.2021.3104155
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