An improved Harris Hawks optimization for Bayesian network structure learning via genetic operators-Reference-Cited by-同舟云学术

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An improved Harris Hawks optimization for Bayesian network structure learning via genetic operators

Published:2023-08-19 Issue:20 Volume:27 Page:14659-14672
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Liu Haoran,Cai Yanbin,Shi Qianrui,Wang Niantai,Zhang Liyue,Li Sheng,Cui Shaopeng

Funder

the National Key R &D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-09107-7.pdf

Reference49 articles.

1. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19(6):716–723. https://doi.org/10.1109/TAC.1974.1100705

2. Asadayoobi N, Taghipour S, Jaber MY (2022) Predicting human reliability based on probabilistic mission completion time using bayesian network. Reliab Eng Syst Saf 221(108):324. https://doi.org/10.1016/j.ress.2022.108324

3. Askari MBA, Ahsaee MG (2018) Bayesian network structure learning based on cuckoo search algorithm. In: 2018 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), IEEE, pp 127–130, https://doi.org/10.1109/CFIS.2018.8336652

4. Cerf R (1998) Asymptotic convergence of genetic algorithms. Adv Appl Probab 30(2):521–550. https://doi.org/10.1002/qua.560510407

5. Chen S, Guo X, Han S et al (2021) A novel stochastic cloud model for statistical characterization of wind turbine output. IEEE ACCESS 9:7439–7446. https://doi.org/10.1109/ACCESS.2020.3038450

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