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Zhang S, Wang S, Dong R, Zhang K, Zhang X. A Multi-strategy Improved Outpost and Differential Evolution Mutation Marine Predators Algorithm for Global Optimization. Arab J Sci Eng 2023;:1-24. [PMID: 36845881 DOI: 10.1007/s13369-023-07683-2] [Reference Citation Analysis]
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Wang Z, Liang G, Chen H. Tool for Predicting College Student Career Decisions: An Enhanced Support Vector Machine Framework. Applied Sciences 2022;12:4776. [DOI: 10.3390/app12094776] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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Chen Y, Wang M, Heidari AA, Shi B, Hu Z, Zhang Q, Chen H, Mafarja M, Turabieh H. Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm. Expert Systems with Applications 2022;194:116511. [DOI: 10.1016/j.eswa.2022.116511] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 11.0] [Reference Citation Analysis]
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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]
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Yu S, Heidari AA, Liang G, Chen C, Chen H, Shao Q. Solar photovoltaic model parameter estimation based on orthogonally-adapted gradient-based optimization. Optik 2022;252:168513. [DOI: 10.1016/j.ijleo.2021.168513] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 8.0] [Reference Citation Analysis]
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Hussien AG, Heidari AA, Ye X, Liang G, Chen H, Pan Z. Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method. Engineering with Computers. [DOI: 10.1007/s00366-021-01542-0] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 14.0] [Reference Citation Analysis]
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Yu H, Qiao S, Heidari AA, Bi C, Chen H. Individual Disturbance and Attraction Repulsion Strategy Enhanced Seagull Optimization for Engineering Design. Mathematics 2022;10:276. [DOI: 10.3390/math10020276] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
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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]
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Houssein EH, Helmy BE, Rezk H, Nassef AM. An efficient orthogonal opposition-based learning slime mould algorithm for maximum power point tracking. Neural Comput & Applic 2022;34:3671-95. [DOI: 10.1007/s00521-021-06634-y] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
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Fan Y, Wang P, Heidari AA, Chen H, Hamzaturabieh, Mafarja M. Random reselection particle swarm optimization for optimal design of solar photovoltaic modules. Energy 2022;239:121865. [DOI: 10.1016/j.energy.2021.121865] [Cited by in Crossref: 28] [Cited by in F6Publishing: 28] [Article Influence: 28.0] [Reference Citation Analysis]
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Xia J, Yang D, Zhou H, Chen Y, Zhang H, Liu T, Heidari AA, Chen H, Pan Z. Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm. Comput Biol Med 2021;141:105137. [PMID: 34953358 DOI: 10.1016/j.compbiomed.2021.105137] [Cited by in Crossref: 31] [Cited by in F6Publishing: 27] [Article Influence: 15.5] [Reference Citation Analysis]
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Dong R, Chen H, Heidari AA, Turabieh H, Mafarja M, Wang S. Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem. Knowledge-Based Systems 2021;233:107529. [DOI: 10.1016/j.knosys.2021.107529] [Cited by in Crossref: 19] [Cited by in F6Publishing: 27] [Article Influence: 9.5] [Reference Citation Analysis]
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Zhao S, Wang P, Heidari AA, Chen H, He W, Xu S. Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy. Comput Biol Med 2021;139:105015. [PMID: 34800808 DOI: 10.1016/j.compbiomed.2021.105015] [Cited by in Crossref: 14] [Cited by in F6Publishing: 20] [Article Influence: 7.0] [Reference Citation Analysis]
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Weng X, Heidari AA, Liang G, Chen H, Ma X. An evolutionary Nelder–Mead slime mould algorithm with random learning for efficient design of photovoltaic models. Energy Reports 2021;7:8784-804. [DOI: 10.1016/j.egyr.2021.11.019] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
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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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Bacanin N, Stoean R, Zivkovic M, Petrovic A, Rashid TA, Bezdan T. Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization. Mathematics 2021;9:2705. [DOI: 10.3390/math9212705] [Cited by in Crossref: 18] [Cited by in F6Publishing: 22] [Article Influence: 9.0] [Reference Citation Analysis]
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Liu L, Zhao D, Yu F, Heidari AA, Ru J, Chen H, Mafarja M, Turabieh H, Pan Z. Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Comput Biol Med 2021;138:104910. [PMID: 34638022 DOI: 10.1016/j.compbiomed.2021.104910] [Cited by in Crossref: 23] [Cited by in F6Publishing: 30] [Article Influence: 11.5] [Reference Citation Analysis]
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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]
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Shi B, Ye H, Heidari AA, Zheng L, Hu Z, Chen H, Turabieh H, Mafarja M, Wu P. Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization. Journal of King Saud University - Computer and Information Sciences 2021. [DOI: 10.1016/j.jksuci.2021.09.019] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
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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]
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Yang Y, Chen H, Heidari AA, Gandomi AH. Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts. Expert Systems with Applications 2021;177:114864. [DOI: 10.1016/j.eswa.2021.114864] [Cited by in Crossref: 270] [Cited by in F6Publishing: 207] [Article Influence: 135.0] [Reference Citation Analysis]
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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]
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Wang G, Gui W, Liang G, Zhao X, Wang M, Mafarja M, Turabieh H, Xin J, Chen H, Ma X, Sun Y. Spiral Motion Enhanced Elite Whale Optimizer for Global Tasks. Complexity 2021;2021:1-33. [DOI: 10.1155/2021/8130378] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
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Zhao S, Wang P, Zhao X, Turabieh H, Mafarja M, Chen H. Elite dominance scheme ingrained adaptive salp swarm algorithm: a comprehensive study. Engineering with Computers. [DOI: 10.1007/s00366-021-01464-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
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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]
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Zhao J, Gao Z, Zhang Y. Piecewise Linear map enabled Harris Hawk optimization algorithm. J Phys : Conf Ser 2021;1994:012038. [DOI: 10.1088/1742-6596/1994/1/012038] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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Wu S, Mao P, Li R, Cai Z, Heidari AA, Xia J, Chen H, Mafarja M, Turabieh H, Chen X. Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis. Comput Biol Med 2021;135:104582. [PMID: 34214940 DOI: 10.1016/j.compbiomed.2021.104582] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 7.5] [Reference Citation Analysis]
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Zhou W, Wang P, Heidari AA, Wang M, Zhao X, Chen H. Multi-core sine cosine optimization: Methods and inclusive analysis. Expert Systems with Applications 2021;164:113974. [DOI: 10.1016/j.eswa.2020.113974] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 7.5] [Reference Citation Analysis]
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Shi B, Ye H, Zheng J, Zhu Y, Heidari AA, Zheng L, Chen H, Wang L, Wu P. Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making. IEEE Access 2021;9:121996-2015. [DOI: 10.1109/access.2021.3108447] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
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Ji Y, Tu J, Zhou H, Gui W, Liang G, Chen H, Wang M, Geem ZW. An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization. Complexity 2020;2020:1-36. [DOI: 10.1155/2020/6084917] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 6.0] [Reference Citation Analysis]
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Chen C, Wang X, Yu H, Zhao N, Wang M, Chen H, Kumarappan N. An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme. Complexity 2020;2020:1-24. [DOI: 10.1155/2020/4968063] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 3.7] [Reference Citation Analysis]
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