An efficient parameter optimization of software reliability growth model by using chaotic grey wolf optimization algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02476-z.pdf
Reference29 articles.
1. Abd-Elkader AG, Saleh SM, Eiteba MM (2018) A passive islanding detection strategy for multi-distributed generations. Int J Electr Power Energy Syst 99:146–155. https://doi.org/10.1016/j.ijepes.2018.01.005
2. Cascone A, Manzo R, Piccoli B, Rarità L (2008) Optimization versus randomness for car traffic regulation. Phys Rev E 78(2):026113. https://doi.org/10.1103/PhysRevE.78.026113
3. Cheng M, Wu G, Yuan M, Wan H (2016) Semi-supervised software defect prediction using task-driven dictionary learning. Chin J Electron 25(6):1089–1096. https://doi.org/10.1049/cje.2016.08.034
4. Choudhary A, Baghel A, Sangwan O (2017) Efficient parameter estimation of software reliability growth models using harmony search. IET Softw 11(6):286–291. https://doi.org/10.1049/iet-sen.2015.0171
5. Cutolo A, De Nicola C, Manzo R, Rarità L (2012) Optimal paths on urban networks using travelling times prevision. Model Simul Eng. https://doi.org/10.1155/2012/564168
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