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For: Zhang H, Li R, Cai Z, Gu Z, Heidari AA, Wang M, Chen H, Chen M. Advanced orthogonal moth flame optimization with Broyden–Fletcher–Goldfarb–Shanno algorithm: Framework and real-world problems. Expert Systems with Applications 2020;159:113617. [DOI: 10.1016/j.eswa.2020.113617] [Cited by in Crossref: 32] [Cited by in F6Publishing: 33] [Article Influence: 10.7] [Reference Citation Analysis]
Number Citing Articles
1 Xing J, Zhou X, Zhao H, Chen H, Heidari AA. Elite levy spreading differential evolution via ABC shrink-wrap for multi-threshold segmentation of breast cancer images. Biomedical Signal Processing and Control 2023;82:104592. [DOI: 10.1016/j.bspc.2023.104592] [Reference Citation Analysis]
2 Abdel-nabi H, Ali MZ, Awajan A, Alazrai R, Daoud MI, Suganthan PN. An Iterative cyclic Tri-Strategy Hybrid Stochastic fractal with Adaptive Differential Algorithm for Global Numerical Optimization. Information Sciences 2023. [DOI: 10.1016/j.ins.2023.01.065] [Reference Citation Analysis]
3 Sahoo SK, Saha AK, Ezugwu AE, Agushaka JO, Abuhaija B, Alsoud AR, Abualigah L. Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications. Arch Comput Methods Eng 2023;30:391-426. [PMID: 36059575 DOI: 10.1007/s11831-022-09801-z] [Reference Citation Analysis]
4 Li H, Ke S, Rao X, Li C, Chen D, Kuang F, Chen H, Liang G, Liu L. An Improved Whale Optimizer with Multiple Strategies for Intelligent Prediction of Talent Stability. Electronics 2022;11:4224. [DOI: 10.3390/electronics11244224] [Reference Citation Analysis]
5 Wang H, Li Z, Song D, He X, Khan M. Applying Machine Learning and Automatic Speech Recognition for Intelligent Evaluation of Coal Failure Probability under Uniaxial Compression. Minerals 2022;12:1548. [DOI: 10.3390/min12121548] [Reference Citation Analysis]
6 Gillam J, Killick R, Heal J, Norwood B. Modeling and forecasting of at home activity in older adults using passive sensor technology. Stat Med 2022;41:4629-46. [PMID: 35858766 DOI: 10.1002/sim.9529] [Reference Citation Analysis]
7 Qin H, Meng T, Cao Y. Fuzzy Strategy Grey Wolf Optimizer for Complex Multimodal Optimization Problems. Sensors 2022;22:6420. [DOI: 10.3390/s22176420] [Reference Citation Analysis]
8 Zhou W, Wang P, Asghar Heidari A, Zhao X, Chen H. Spiral Gaussian Mutation Sine Cosine Algorithm: Framework and Comprehensive Performance Optimization. Expert Systems with Applications 2022. [DOI: 10.1016/j.eswa.2022.118372] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Elaziz MA, Abualigah L, Ewees AA, Al-qaness MA, Mostafa RR, Yousri D, Ibrahim RA. Triangular mutation-based manta-ray foraging optimization and orthogonal learning for global optimization and engineering problems. Appl Intell. [DOI: 10.1007/s10489-022-03899-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Tran VQ, Dang VQ, Do HQ, Ho LS. Investigation of ANN architecture for predicting residual strength of clay soil. Neural Comput & Applic. [DOI: 10.1007/s00521-022-07547-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Zhao F, Wang Q, Zhang H. A Comprehensive Learning Moth-Flame Optimization with Low Discrepancy Sequence. 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2022. [DOI: 10.1109/cscwd54268.2022.9776079] [Reference Citation Analysis]
12 Dong Y, Zhang H, Wang C, Zhou X. An adaptive state transition algorithm with local enhancement for global optimization. Applied Soft Computing 2022;121:108733. [DOI: 10.1016/j.asoc.2022.108733] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
13 Wang M, Liang Y, Hu Z, Chen S, Shi B, Heidari AA, Zhang Q, Chen H, Chen X. Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines. Comput Biol Med 2022;145:105435. [PMID: 35397339 DOI: 10.1016/j.compbiomed.2022.105435] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
14 Xia J, Zhang H, Li R, Wang Z, Cai Z, Gu Z, Chen H, Pan Z. Adaptive Barebones Salp Swarm Algorithm with Quasi-oppositional Learning for Medical Diagnosis Systems: A Comprehensive Analysis. J Bionic Eng. [DOI: 10.1007/s42235-021-00114-8] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
15 Nadimi-shahraki MH, Fatahi A, Zamani H, Mirjalili S, Abualigah L, Abd Elaziz M. Migration-Based Moth-Flame Optimization Algorithm. Processes 2021;9:2276. [DOI: 10.3390/pr9122276] [Cited by in Crossref: 23] [Cited by in F6Publishing: 24] [Article Influence: 11.5] [Reference Citation Analysis]
16 Liang X, Wu D, Liu Y, He M, Sun L. An Enhanced Slime Mould Algorithm and Its Application for Digital IIR Filter Design. Discrete Dynamics in Nature and Society 2021;2021:1-23. [DOI: 10.1155/2021/5333278] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
17 Xu Y, Huang H, Heidari AA, Gui W, Ye X, Chen Y, Chen H, Pan Z. MFeature: Towards high performance evolutionary tools for feature selection. Expert Systems with Applications 2021;186:115655. [DOI: 10.1016/j.eswa.2021.115655] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
18 Zhang Q, Wang Z, Heidari AA, Gui W, Shao Q, Chen H, Zaguia A, Turabieh H, Chen M. Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study. Comput Biol Med 2021;139:104941. [PMID: 34801864 DOI: 10.1016/j.compbiomed.2021.104941] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 9.5] [Reference Citation Analysis]
19 Kumar C, Mary DM. Parameter estimation of three-diode solar photovoltaic model using an Improved-African Vultures optimization algorithm with Newton–Raphson method. J Comput Electron 2021;20:2563-93. [DOI: 10.1007/s10825-021-01812-6] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
20 Duan X, Zhang X. A hybrid genetic-particle swarm optimizer using precise mutation strategy for computationally expensive problems. Appl Intell. [DOI: 10.1007/s10489-021-02828-y] [Reference Citation Analysis]
21 Chen C, Wang X, Yu H, Wang M, Chen H. Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms. Mathematics and Computers in Simulation 2021;188:291-318. [DOI: 10.1016/j.matcom.2021.04.006] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 7.5] [Reference Citation Analysis]
22 Chen C, Wang X, Chen H, Wu C, Mafarja M, Turabieh H. Towards Precision Fertilization: Multi-Strategy Grey Wolf Optimizer Based Model Evaluation and Yield Estimation. Electronics 2021;10:2183. [DOI: 10.3390/electronics10182183] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
23 Chen C, Wang X, Wu C, Mafarja M, Turabieh H, Chen H. Soil Erosion Prediction Based on Moth-Flame Optimizer-Evolved Kernel Extreme Learning Machine. Electronics 2021;10:2115. [DOI: 10.3390/electronics10172115] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
24 Gan H, Zhang C, Du XZ, Jiang P, Niu CP, Zheng XH, Yin YW, Li XG. Insights into superconductivity of LaO from experiments and first-principles calculations. Phys Rev B 2021;104:054515. [DOI: 10.1103/physrevb.104.054515] [Reference Citation Analysis]
25 Xia J, Zhang H, Li R, Chen H, Turabieh H, Mafarja M, Pan Z. Generalized Oppositional Moth Flame Optimization with Crossover Strategy: An Approach for Medical Diagnosis. J Bionic Eng 2021;18:991-1010. [DOI: 10.1007/s42235-021-0068-1] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
26 Suresh A, Carmel Mary Belinda MJ. Online product recommendation system using gated recurrent unit with Broyden Fletcher Goldfarb Shanno algorithm. Evol Intel . [DOI: 10.1007/s12065-021-00594-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
27 Ren H, Li J, Chen H, Li C. Adaptive levy-assisted salp swarm algorithm: Analysis and optimization case studies. Mathematics and Computers in Simulation 2021;181:380-409. [DOI: 10.1016/j.matcom.2020.09.027] [Cited by in Crossref: 16] [Cited by in F6Publishing: 11] [Article Influence: 8.0] [Reference Citation Analysis]
28 Ye X, Liu W, Li H, Wang M, Chi C, Liang G, Chen H, Huang H, Costa-castelló R. Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification. Complexity 2021;2021:1-23. [DOI: 10.1155/2021/8878686] [Cited by in Crossref: 14] [Cited by in F6Publishing: 24] [Article Influence: 7.0] [Reference Citation Analysis]
29 Nautiyal B, Prakash R, Vimal V, Liang G, Chen H. Improved Salp Swarm Algorithm with mutation schemes for solving global optimization and engineering problems. Engineering with Computers. [DOI: 10.1007/s00366-020-01252-z] [Cited by in Crossref: 17] [Cited by in F6Publishing: 11] [Article Influence: 8.5] [Reference Citation Analysis]
30 Shan W, Qiao Z, Heidari AA, Chen H, Turabieh H, Teng Y. Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis. Knowledge-Based Systems 2021;214:106728. [DOI: 10.1016/j.knosys.2020.106728] [Cited by in Crossref: 111] [Cited by in F6Publishing: 112] [Article Influence: 55.5] [Reference Citation Analysis]
31 Ma L, Wang C, Xie N, Shi M, Ye Y, Wang L. Moth-flame optimization algorithm based on diversity and mutation strategy. Appl Intell 2021;51:5836-72. [DOI: 10.1007/s10489-020-02081-9] [Cited by in Crossref: 18] [Cited by in F6Publishing: 14] [Article Influence: 9.0] [Reference Citation Analysis]
32 Zhang Y. Backtracking search algorithm with specular reflection learning for global optimization. Knowledge-Based Systems 2021;212:106546. [DOI: 10.1016/j.knosys.2020.106546] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 9.0] [Reference Citation Analysis]
33 Zhou H, Ding Z, Peng H, Tang Z, Liang G, Chen H, Ma C, Wang M. An Improved Grasshopper Optimizer for Global Tasks. Complexity 2020;2020:1-23. [DOI: 10.1155/2020/4873501] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
34 Zhang H, Cai Z, Ye X, Wang M, Kuang F, Chen H, Li C, Li Y. A multi-strategy enhanced salp swarm algorithm for global optimization. Engineering with Computers. [DOI: 10.1007/s00366-020-01099-4] [Cited by in Crossref: 32] [Cited by in F6Publishing: 26] [Article Influence: 10.7] [Reference Citation Analysis]