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For: Liu Y, Chong G, Heidari AA, Chen H, Liang G, Ye X, Cai Z, Wang M. Horizontal and vertical crossover of Harris hawk optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models. Energy Conversion and Management 2020;223:113211. [DOI: 10.1016/j.enconman.2020.113211] [Cited by in Crossref: 66] [Cited by in F6Publishing: 70] [Article Influence: 22.0] [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 Yang X, Wang R, Zhao D, Yu F, Huang C, Heidari AA, Cai Z, Bourouis S, Algarni AD, Chen H. An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems. Expert Systems with Applications 2023;213:119041. [DOI: 10.1016/j.eswa.2022.119041] [Reference Citation Analysis]
3 Yang X, Wang R, Zhao D, Yu F, Heidari AA, Xu Z, Chen H, Algarni AD, Elmannai H, Xu S. Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution. Biomedical Signal Processing and Control 2023;80:104373. [DOI: 10.1016/j.bspc.2022.104373] [Reference Citation Analysis]
4 Peng L, Cai Z, Heidari AA, Zhang L, Chen H. Hierarchical Harris hawks optimizer for feature selection. J Adv Res 2023:S2090-1232(23)00027-9. [PMID: 36690206 DOI: 10.1016/j.jare.2023.01.014] [Reference Citation Analysis]
5 Ma BJ, Pereira JLJ, Oliva D, Liu S, Kuo Y. Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement. Knowledge-Based Systems 2023. [DOI: 10.1016/j.knosys.2022.110247] [Reference Citation Analysis]
6 Issa M. Enhanced Arithmetic Optimization Algorithm for Parameter Estimation of PID Controller. Arab J Sci Eng 2023;48:2191-205. [PMID: 36042895 DOI: 10.1007/s13369-022-07136-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Shaheen A, El-sehiemy R, El-fergany A, Ginidi A. Representations of solar photovoltaic triple-diode models using artificial hummingbird optimizer. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2022;44:8787-8810. [DOI: 10.1080/15567036.2022.2125126] [Reference Citation Analysis]
8 Lin C, Wang P, Heidari AA, Zhao X, Chen H. A Boosted Communicational Salp Swarm Algorithm: Performance Optimization and Comprehensive Analysis. J Bionic Eng 2022. [DOI: 10.1007/s42235-022-00304-y] [Reference Citation Analysis]
9 Hu G, Yang R, Wei G. Hybrid chameleon swarm algorithm with multi-strategy : A case study of degree reduction for disk Wang–Ball curves. Mathematics and Computers in Simulation 2022. [DOI: 10.1016/j.matcom.2022.12.001] [Reference Citation Analysis]
10 Wang X, Dong X, Zhang Y, Chen H. Crisscross Harris Hawks Optimizer for Global Tasks and Feature Selection. J Bionic Eng 2022;:1-22. [PMID: 36466727 DOI: 10.1007/s42235-022-00298-7] [Reference Citation Analysis]
11 Younis A, Bakhit A, Onsa M, Hashim M. A comprehensive and critical review of bio-inspired metaheuristic frameworks for extracting parameters of solar cell single and double diode models. Energy Reports 2022;8:7085-106. [DOI: 10.1016/j.egyr.2022.05.160] [Reference Citation Analysis]
12 Zhang Q, Huang A, Shao L, Wu P, Heidari AA, Cai Z, Liang G, Chen H, Alotaibi FS, Mafarja M, Ouyang J. A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making. Journal of Computational Science 2022;65:101871. [DOI: 10.1016/j.jocs.2022.101871] [Reference Citation Analysis]
13 Premkumar M, Jangir P, Ramakrishnan C, Kumar C, Sowmya R, Deb S, Kumar NM. An enhanced Gradient-based Optimizer for parameter estimation of various solar photovoltaic models. Energy Reports 2022;8:15249-15285. [DOI: 10.1016/j.egyr.2022.11.092] [Reference Citation Analysis]
14 Peng L, He C, Heidari AA, Zhang Q, Chen H, Liang G, Aljehane NO, Mansour RF. Information sharing search boosted whale optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models. Energy Conversion and Management 2022;270:116246. [DOI: 10.1016/j.enconman.2022.116246] [Reference Citation Analysis]
15 Changmai P, Deka S, Kumar S, Babu TS, Aljafari B, Nastasi B. A Critical Review on the Estimation Techniques of the Solar PV Cell’s Unknown Parameters. Energies 2022;15:7212. [DOI: 10.3390/en15197212] [Reference Citation Analysis]
16 Belmadani H, Kheldoun A, Bradai R, Mekhilef S, Siddique MD. A twofold hunting trip African vultures algorithm for the optimal extraction of photovoltaic generator model parameters. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2022;44:7001-7030. [DOI: 10.1080/15567036.2022.2096723] [Reference Citation Analysis]
17 Liu Y, Heidari AA, Cai Z, Liang G, Chen H, Pan Z, Alsufyani A, Bourouis S. Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection. Neurocomputing 2022;503:325-62. [DOI: 10.1016/j.neucom.2022.06.075] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
18 Yu S, Heidari AA, He C, Cai Z, Althobaiti MM, Mansour RF, Liang G, Chen H. Parameter estimation of static solar photovoltaic models using Laplacian Nelder-Mead hunger games search. Solar Energy 2022;242:79-104. [DOI: 10.1016/j.solener.2022.06.046] [Reference Citation Analysis]
19 Ma BJ, Liu S, Heidari AA. Multi-strategy ensemble binary hunger games search for feature selection. Knowledge-Based Systems 2022;248:108787. [DOI: 10.1016/j.knosys.2022.108787] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 6.0] [Reference Citation Analysis]
20 Tripathy BK, Reddy Maddikunta PK, Pham Q, Gadekallu TR, Dev K, Pandya S, Elhalawany BM, Sarfraz S. Harris Hawk Optimization: A Survey onVariants and Applications. Computational Intelligence and Neuroscience 2022;2022:1-20. [DOI: 10.1155/2022/2218594] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
21 Hussien AG, Abualigah L, Abu Zitar R, Hashim FA, Amin M, Saber A, Almotairi KH, Gandomi AH. Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications. Electronics 2022;11:1919. [DOI: 10.3390/electronics11121919] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 16.0] [Reference Citation Analysis]
22 Raziani S, Ahmadian S, Jalali SMJ, Chalechale A. An Efficient Hybrid Model Based on Modified Whale Optimization Algorithm and Multilayer Perceptron Neural Network for Medical Classification Problems. J Bionic Eng. [DOI: 10.1007/s42235-022-00216-x] [Reference Citation Analysis]
23 Lekouaghet B, Khelifa MA, Boukabou A. Adolescent identity search algorithm for parameter extraction in photovoltaic solar cells and modules. J Comput Electron. [DOI: 10.1007/s10825-022-01881-1] [Reference Citation Analysis]
24 Xu B, Heidari AA, Kuang F, Zhang S, Chen H, Cai Z. Quantum Nelder‐Mead Hunger Games Search for optimizing photovoltaic solar cells. Intl J of Energy Research. [DOI: 10.1002/er.8011] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
25 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]
26 Premkumar M, Jangir P, Kumar C, Sundarsingh Jebaseelan SDT, Alhelou HH, Madurai Elavarasan R, Chen H. Constraint estimation in three‐diode solar photovoltaic model using Gaussian and Cauchy mutation‐based hunger games search optimizer and enhanced Newton–Raphson method. IET Renewable Power Gen. [DOI: 10.1049/rpg2.12475] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
27 Samma H, Sama ASB. Rules embedded harris hawks optimizer for large-scale optimization problems. Neural Comput & Applic. [DOI: 10.1007/s00521-022-07146-z] [Reference Citation Analysis]
28 Bao H, Liang G, Cai Z, Chen H. Random Replacement Crisscross Butterfly Optimization Algorithm for Standard Evaluation of Overseas Chinese Associations. Electronics 2022;11:1080. [DOI: 10.3390/electronics11071080] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
29 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]
30 Yu S, Chen Z, Heidari AA, Zhou W, Chen H, Xiao L. Parameter identification of photovoltaic models using a sine cosine differential gradient based optimizer. IET Renewable Power Gen. [DOI: 10.1049/rpg2.12451] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
31 Ridha HM, Hizam H, Mirjalili S, Othman ML, Ya'acob ME, Ahmadipour M, Ismaeel NQ. On the problem formulation for parameter extraction of the photovoltaic model: Novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula. Energy Conversion and Management 2022;256:115403. [DOI: 10.1016/j.enconman.2022.115403] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
32 Song S, Wang P, Heidari AA, Zhao X, Chen H. Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction. Engineering Applications of Artificial Intelligence 2022;109:104608. [DOI: 10.1016/j.engappai.2021.104608] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 14.0] [Reference Citation Analysis]
33 Jian X, Cao Y. A Chaotic Second Order Oscillation JAYA Algorithm for Parameter Extraction of Photovoltaic Models. Photonics 2022;9:131. [DOI: 10.3390/photonics9030131] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
34 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]
35 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]
36 Arini FY, Chiewchanwattana S, Soomlek C, Sunat K. Joint Opposite Selection (JOS): A premiere joint of selective leading opposition and dynamic opposite enhanced Harris’ hawks optimization for solving single-objective problems. Expert Systems with Applications 2022;188:116001. [DOI: 10.1016/j.eswa.2021.116001] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
37 Haddad S, Lekouaghet B, Benghanem M, Soukkou A, Rabhi A. Parameter Estimation of Solar Modules Operating Under Outdoor Operational Conditions Using Artificial Hummingbird Algorithm. IEEE Access 2022;10:51299-314. [DOI: 10.1109/access.2022.3174222] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
38 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]
39 Malki A, Mohamed AA, Rashwan YI, El-sehiemy RA, Elhosseini MA. Parameter Identification of Photovoltaic Cell Model Using Modified Elephant Herding Optimization-Based Algorithms. Applied Sciences 2021;11:11929. [DOI: 10.3390/app112411929] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
40 Jangir P, Heidari AA, Chen H. Elitist non-dominated sorting Harris hawks optimization: Framework and developments for multi-objective problems. Expert Systems with Applications 2021;186:115747. [DOI: 10.1016/j.eswa.2021.115747] [Cited by in Crossref: 7] [Cited by in F6Publishing: 11] [Article Influence: 3.5] [Reference Citation Analysis]
41 Hu J, Han Z, Heidari AA, Shou Y, Ye H, Wang L, Huang X, Chen H, Chen Y, Wu P. Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine. Computers in Biology and Medicine 2021. [DOI: 10.1016/j.compbiomed.2021.105166] [Cited by in Crossref: 29] [Cited by in F6Publishing: 27] [Article Influence: 14.5] [Reference Citation Analysis]
42 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]
43 Fan Y, Wang P, Heidari AA, Zhao X, Turabieh H, Chen H. Delayed dynamic step shuffling frog-leaping algorithm for optimal design of photovoltaic models. Energy Reports 2021;7:228-46. [DOI: 10.1016/j.egyr.2020.12.013] [Cited by in Crossref: 20] [Cited by in F6Publishing: 21] [Article Influence: 10.0] [Reference Citation Analysis]
44 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]
45 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]
46 Ahmadianfar I, Gong W, Heidari AA, Golilarz NA, Samadi-koucheksaraee A, Chen H. Gradient-based optimization with ranking mechanisms for parameter identification of photovoltaic systems. Energy Reports 2021;7:3979-97. [DOI: 10.1016/j.egyr.2021.06.064] [Cited by in Crossref: 22] [Cited by in F6Publishing: 24] [Article Influence: 11.0] [Reference Citation Analysis]
47 Liu Y, Heidari AA, Ye X, Chi C, Zhao X, Ma C, Turabieh H, Chen H, Le R. Evolutionary shuffled frog leaping with memory pool for parameter optimization. Energy Reports 2021;7:584-606. [DOI: 10.1016/j.egyr.2021.01.001] [Cited by in Crossref: 24] [Cited by in F6Publishing: 24] [Article Influence: 12.0] [Reference Citation Analysis]
48 Zhou W, Wang P, Heidari AA, Zhao X, Turabieh H, Mafarja M, Chen H. Metaphor-free dynamic spherical evolution for parameter estimation of photovoltaic modules. Energy Reports 2021;7:5175-202. [DOI: 10.1016/j.egyr.2021.07.041] [Cited by in Crossref: 17] [Cited by in F6Publishing: 20] [Article Influence: 8.5] [Reference Citation Analysis]
49 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]
50 Li M, Li C, Huang Z, Huang J, Wang G, Liu PX. Spiral-based chaotic chicken swarm optimization algorithm for parameters identification of photovoltaic models. Soft Comput 2021;25:12875-98. [DOI: 10.1007/s00500-021-06010-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
51 Çetinbaş İ, Tamyürek B, Demirtaş M. Sizing optimization and design of an autonomous AC microgrid for commercial loads using Harris Hawks Optimization algorithm. Energy Conversion and Management 2021;245:114562. [DOI: 10.1016/j.enconman.2021.114562] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
52 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]
53 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]
54 Weng X, Heidari AA, Liang G, Chen H, Ma X, Mafarja M, Turabieh H. Laplacian Nelder-Mead spherical evolution for parameter estimation of photovoltaic models. Energy Conversion and Management 2021;243:114223. [DOI: 10.1016/j.enconman.2021.114223] [Cited by in Crossref: 20] [Cited by in F6Publishing: 18] [Article Influence: 10.0] [Reference Citation Analysis]
55 Wang M, Zhang Q, Chen H, Heidari AA, Mafarja M, Turabieh H. Evaluation of constraint in photovoltaic cells using ensemble multi-strategy shuffled frog leading algorithms. Energy Conversion and Management 2021;244:114484. [DOI: 10.1016/j.enconman.2021.114484] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 9.0] [Reference Citation Analysis]
56 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]
57 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]
58 Mahapatra S, Dey B, Raj S. A novel ameliorated Harris hawk optimizer for solving complex engineering optimization problems. Int J Intell Syst 2021;36:7641-81. [DOI: 10.1002/int.22602] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 6.5] [Reference Citation Analysis]
59 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]
60 Bac BH, Nguyen H, Thao NTT, Hanh VT, Duyen LT, Dung NT, Du NK, Hiep NH. Estimating heavy metals absorption efficiency in an aqueous solution using nanotube-type halloysite from weathered pegmatites and a novel Harris hawks optimization-based multiple layers perceptron neural network. Engineering with Computers. [DOI: 10.1007/s00366-021-01459-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
61 Huang Z, Chen L, Li M, Liu PX, Li C. A multiple learning moth flame optimization algorithm with probability-based chaotic strategy for the parameters estimation of photovoltaic models. Journal of Renewable and Sustainable Energy 2021;13:043502. [DOI: 10.1063/5.0048961] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
62 Abd Elaziz M, Yousri D, Mirjalili S. A hybrid Harris hawks-moth-flame optimization algorithm including fractional-order chaos maps and evolutionary population dynamics. Advances in Engineering Software 2021;154:102973. [DOI: 10.1016/j.advengsoft.2021.102973] [Cited by in Crossref: 23] [Cited by in F6Publishing: 17] [Article Influence: 11.5] [Reference Citation Analysis]
63 Al-betar MA, Awadallah MA, Heidari AA, Chen H, Al-khraisat H, Li C. Survival exploration strategies for Harris Hawks Optimizer. Expert Systems with Applications 2021;168:114243. [DOI: 10.1016/j.eswa.2020.114243] [Cited by in Crossref: 28] [Cited by in F6Publishing: 30] [Article Influence: 14.0] [Reference Citation Analysis]
64 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]
65 Hu J, Chen H, Heidari AA, Wang M, Zhang X, Chen Y, Pan Z. Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection. Knowledge-Based Systems 2021;213:106684. [DOI: 10.1016/j.knosys.2020.106684] [Cited by in Crossref: 163] [Cited by in F6Publishing: 123] [Article Influence: 81.5] [Reference Citation Analysis]
66 Fan Y, Wang P, Mafarja M, Wang M, Zhao X, Chen H. A bioinformatic variant fruit fly optimizer for tackling optimization problems. Knowledge-Based Systems 2021;213:106704. [DOI: 10.1016/j.knosys.2020.106704] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 7.5] [Reference Citation Analysis]
67 Yu C, Chen M, Cheng K, Zhao X, Ma C, Kuang F, Chen H. SGOA: annealing-behaved grasshopper optimizer for global tasks. Engineering with Computers. [DOI: 10.1007/s00366-020-01234-1] [Cited by in Crossref: 77] [Cited by in F6Publishing: 57] [Article Influence: 38.5] [Reference Citation Analysis]
68 Premkumar M, Jangir P, Ramakrishnan C, Nalinipriya G, Alhelou HH, Kumar BS. Identification of Solar Photovoltaic Model Parameters Using an Improved Gradient-Based Optimization Algorithm With Chaotic Drifts. IEEE Access 2021;9:62347-79. [DOI: 10.1109/access.2021.3073821] [Cited by in Crossref: 27] [Cited by in F6Publishing: 29] [Article Influence: 13.5] [Reference Citation Analysis]
69 Wang X, Chen H, Heidari AA, Zhang X, Xu J, Xu Y, Huang H. Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis. Knowledge-Based Systems 2020;210:106437. [DOI: 10.1016/j.knosys.2020.106437] [Cited by in Crossref: 40] [Cited by in F6Publishing: 39] [Article Influence: 13.3] [Reference Citation Analysis]
70 Wang M, Zhao X, Heidari AA, Chen H. Evaluation of constraint in photovoltaic models by exploiting an enhanced ant lion optimizer. Solar Energy 2020;211:503-21. [DOI: 10.1016/j.solener.2020.09.080] [Cited by in Crossref: 28] [Cited by in F6Publishing: 30] [Article Influence: 9.3] [Reference Citation Analysis]
71 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]