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Chatterjee S, Mohammed AN, Mishra S, Sharma NK, Selim A, Bajaj M, Rihan M, Kamel S. Optimal real-time tuning of autonomous distributed power systems using modern techniques. Front Energy Res 2023;11. [DOI: 10.3389/fenrg.2023.1055845] [Reference Citation Analysis]
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Adnan RM, Meshram SG, Mostafa RR, Islam ARMT, Abba SI, Andorful F, Chen Z. Application of Advanced Optimized Soft Computing Models for Atmospheric Variable Forecasting. Mathematics 2023;11:1213. [DOI: 10.3390/math11051213] [Reference Citation Analysis]
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Nadimi-shahraki MH. An Effective Hybridization of Quantum-based Avian Navigation and Bonobo Optimizers to Solve Numerical and Mechanical Engineering Problems. J Bionic Eng 2023. [DOI: 10.1007/s42235-022-00323-9] [Reference Citation Analysis]
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Nadimi-shahraki MH, Zamani H, Fatahi A, Mirjalili S. MFO-SFR: An Enhanced Moth-Flame Optimization Algorithm Using an Effective Stagnation Finding and Replacing Strategy. Mathematics 2023;11:862. [DOI: 10.3390/math11040862] [Reference Citation Analysis]
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Oyelade ON, Agushaka JO, Ezugwu AE. Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets. PLoS One 2023;18:e0282812. [PMID: 36930670 DOI: 10.1371/journal.pone.0282812] [Reference Citation Analysis]
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Navarro MA, Oliva D, Ramos-michel A, Haro EH. An analysis on the performance of metaheuristic algorithms for the estimation of parameters in solar cell models. Energy Conversion and Management 2023;276:116523. [DOI: 10.1016/j.enconman.2022.116523] [Reference Citation Analysis]
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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]
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Pan J, Hu P, Snášel V, Chu S. A survey on binary metaheuristic algorithms and their engineering applications. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10328-9] [Reference Citation Analysis]
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Gharehchopogh FS. Quantum-inspired metaheuristic algorithms: comprehensive survey and classification. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10280-8] [Reference Citation Analysis]
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R. S, S. A. A, Y. V. RR, Sadiq AS. Traffic flow forecasting using natural selection based hybrid Bald Eagle Search—Grey Wolf optimization algorithm. PLoS ONE 2022;17:e0275104. [DOI: 10.1371/journal.pone.0275104] [Reference Citation Analysis]
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Hosseini F, Gharehchopogh FS, Masdari M. MOAEOSCA: an enhanced multi-objective hybrid artificial ecosystem-based optimization with sine cosine algorithm for feature selection in botnet detection in IoT. Multimed Tools Appl. [DOI: 10.1007/s11042-022-13836-6] [Reference Citation Analysis]
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Nadimi-shahraki MH, Fatahi A, Zamani H, Mirjalili S. Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data. Mathematics 2022;10:2770. [DOI: 10.3390/math10152770] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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Nadimi-Shahraki MH, Zamani H, Mirjalili S. Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study. Comput Biol Med 2022;148:105858. [PMID: 35868045 DOI: 10.1016/j.compbiomed.2022.105858] [Cited by in Crossref: 11] [Cited by in F6Publishing: 4] [Article Influence: 11.0] [Reference Citation Analysis]
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Abualigah L, Almotairi KH, Al-qaness MA, Ewees AA, Yousri D, Elaziz MA, Nadimi-shahraki MH. Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm. Knowledge-Based Systems 2022;248:108833. [DOI: 10.1016/j.knosys.2022.108833] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
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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]
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Wang Z, Cao Z, Liu C, Jia H, Tian F, Liu F, Oliva D. An Enhanced Moth-Flame Optimization with Multiple Flame Guidance Mechanism for Parameter Extraction of Photovoltaic Models. Mathematical Problems in Engineering 2022;2022:1-15. [DOI: 10.1155/2022/8398768] [Reference Citation Analysis]
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Zhao F, Bao H, Wang L, Cao J, Tang J, Jonrinaldi. A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism. Knowledge-Based Systems 2022;246:108664. [DOI: 10.1016/j.knosys.2022.108664] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
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Guo J, Shi B, Yan K, Di Y, Tang J, Xiao H, Sato Y. A twinning bare bones particle swarm optimization algorithm. PLoS ONE 2022;17:e0267197. [DOI: 10.1371/journal.pone.0267197] [Reference Citation Analysis]
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Abualigah L, Almotairi KH, Elaziz MA, Shehab M, Altalhi M. Enhanced Flow Direction Arithmetic Optimization Algorithm for mathematical optimization problems with applications of data clustering. Engineering Analysis with Boundary Elements 2022;138:13-29. [DOI: 10.1016/j.enganabound.2022.01.014] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
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Li W, Luo H, Wang L, Jiang Q, Xu Q. Enhanced Brain Storm Optimization Algorithm Based on Modified Nelder–Mead and Elite Learning Mechanism. Mathematics 2022;10:1303. [DOI: 10.3390/math10081303] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Alhassan AM; The Alzheimer’s Disease Neuroimaging Initiative, The Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing. Enhanced Fuzzy Elephant Herding Optimization-Based OTSU Segmentation and Deep Learning for Alzheimer’s Disease Diagnosis. Mathematics 2022;10:1259. [DOI: 10.3390/math10081259] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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Muhammad Sidik SS, Zamri NE, Mohd Kasihmuddin MS, Wahab HA, Guo Y, Mansor MA. Non-Systematic Weighted Satisfiability in Discrete Hopfield Neural Network Using Binary Artificial Bee Colony Optimization. Mathematics 2022;10:1129. [DOI: 10.3390/math10071129] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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Naseri TS, Gharehchopogh FS. A Feature Selection Based on the Farmland Fertility Algorithm for Improved Intrusion Detection Systems. J Netw Syst Manage 2022;30. [DOI: 10.1007/s10922-022-09653-9] [Cited by in Crossref: 13] [Cited by in F6Publishing: 19] [Article Influence: 13.0] [Reference Citation Analysis]
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Zamani H, Nadimi-shahraki MH, Gandomi AH. Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization. Computer Methods in Applied Mechanics and Engineering 2022;392:114616. [DOI: 10.1016/j.cma.2022.114616] [Cited by in Crossref: 40] [Cited by in F6Publishing: 41] [Article Influence: 40.0] [Reference Citation Analysis]
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He F, Ye Q. A Bearing Fault Diagnosis Method Based on Wavelet Packet Transform and Convolutional Neural Network Optimized by Simulated Annealing Algorithm. Sensors 2022;22:1410. [DOI: 10.3390/s22041410] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]
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Zheng Y, Yuan Y, Zheng Q, Lei D. A Hybrid Imperialist Competitive Algorithm for the Distributed Unrelated Parallel Machines Scheduling Problem. Symmetry 2022;14:204. [DOI: 10.3390/sym14020204] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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Abualigah L, Elaziz MA, Khodadadi N, Forestiero A, Jia H, Gandomi AH. Aquila Optimizer Based PSO Swarm Intelligence for IoT Task Scheduling Application in Cloud Computing. Studies in Computational Intelligence 2022. [DOI: 10.1007/978-3-030-99079-4_19] [Reference Citation Analysis]
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Trojovska E, Dehghani M, Trojovsky P. Zebra Optimization Algorithm: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm. IEEE Access 2022;10:49445-73. [DOI: 10.1109/access.2022.3172789] [Reference Citation Analysis]
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Shehab M, Abualigah L, Omari M, Shambour MKY, Alshinwan M, Abuaddous HY, Khasawneh AM. Artificial neural networks for engineering applications: a review. Artificial Neural Networks for Renewable Energy Systems and Real-World Applications 2022. [DOI: 10.1016/b978-0-12-820793-2.00003-3] [Reference Citation Analysis]
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