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For: Liu Y, Heidari AA, Ye X, Liang G, Chen H, He C. Boosting slime mould algorithm for parameter identification of photovoltaic models. Energy 2021;234:121164. [DOI: 10.1016/j.energy.2021.121164] [Cited by in Crossref: 29] [Cited by in F6Publishing: 32] [Article Influence: 14.5] [Reference Citation Analysis]
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16 Ahmadianfar I, Noori RM, Togun H, Falah MW, Homod RZ, Fu M, Halder B, Deo R, Yaseen ZM. Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization. Knowledge-Based Systems 2022;250:109048. [DOI: 10.1016/j.knosys.2022.109048] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
17 Miao H, Qiu Z, Zeng C. Multi-Strategy Improved Slime Mould Algorithm and its Application in Optimal Operation of Cascade Reservoirs. Water Resour Manage 2022;36:3029-48. [DOI: 10.1007/s11269-022-03183-4] [Reference Citation Analysis]
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19 Zhong C, Li G, Meng Z. A hybrid teaching–learning slime mould algorithm for global optimization and reliability-based design optimization problems. Neural Comput & Applic. [DOI: 10.1007/s00521-022-07277-3] [Reference Citation Analysis]
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21 Rawa M, Calasan M, Abusorrah A, Alhussainy AA, Al-Turki Y, Ali ZM, Sindi H, Mekhilef S, Aleem SHEA, Bassi H. Single Diode Solar Cells-Improved Model and Exact Current-Voltage Analytical Solution Based on Lambert's W Function. Sensors (Basel) 2022;22:4173. [PMID: 35684794 DOI: 10.3390/s22114173] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
22 Shi B, Zhou T, Lv S, Wang M, Chen S, Heidari AA, Huang X, Chen H, Wang L, Wu P. An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis. Comput Biol Med 2022;146:105529. [PMID: 35594682 DOI: 10.1016/j.compbiomed.2022.105529] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Lin H, Ahmadianfar I, Amiri Golilarz N, Jamei M, Heidari AA, Kuang F, Zhang S, Chen H. Adaptive slime mould algorithm for optimal design of photovoltaic models. Energy Science & Engineering. [DOI: 10.1002/ese3.1115] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
24 Rawa M, Abusorrah A, Al-turki Y, Calasan M, Micev M, Ali ZM, Mekhilef S, Bassi H, Sindi H, Aleem SHEA. Estimation of Parameters of Different Equivalent Circuit Models of Solar Cells and Various Photovoltaic Modules Using Hybrid Variants of Honey Badger Algorithm and Artificial Gorilla Troops Optimizer. Mathematics 2022;10:1057. [DOI: 10.3390/math10071057] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
25 Liu J, Wei J, Heidari AA, Kuang F, Zhang S, Gui W, Chen H, Pan Z. Chaotic simulated annealing multi-verse optimization enhanced kernel extreme learning machine for medical diagnosis. Comput Biol Med 2022;144:105356. [PMID: 35299042 DOI: 10.1016/j.compbiomed.2022.105356] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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27 Ren L, Heidari AA, Cai Z, Shao Q, Liang G, Chen H, Pan Z. Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation. Measurement 2022;192:110884. [DOI: 10.1016/j.measurement.2022.110884] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
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29 Hu J, Gui W, Heidari AA, Cai Z, Liang G, Chen H, Pan Z. Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection. Knowledge-Based Systems 2022;237:107761. [DOI: 10.1016/j.knosys.2021.107761] [Cited by in Crossref: 34] [Cited by in F6Publishing: 25] [Article Influence: 34.0] [Reference Citation Analysis]
30 Gao H, Liang G, Chen H. Multi-Population Enhanced Slime Mould Algorithm and with Application to Postgraduate Employment Stability Prediction. Electronics 2022;11:209. [DOI: 10.3390/electronics11020209] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
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32 Yin S, Luo Q, Zhou Y. EOSMA: An Equilibrium Optimizer Slime Mould Algorithm for Engineering Design Problems. Arab J Sci Eng. [DOI: 10.1007/s13369-021-06513-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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