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For: Nadimi-shahraki MH, Taghian S, Mirjalili S, Ewees AA, Abualigah L, Abd Elaziz M. MTV-MFO: Multi-Trial Vector-Based Moth-Flame Optimization Algorithm. Symmetry 2021;13:2388. [DOI: 10.3390/sym13122388] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 5.5] [Reference Citation Analysis]
Number Citing Articles
1 Nadimi-Shahraki MH, Taghian S, Zamani H, Mirjalili S, Elaziz MA. MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems. PLoS One 2023;18:e0280006. [PMID: 36595557 DOI: 10.1371/journal.pone.0280006] [Reference Citation Analysis]
2 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]
3 Wang Y, Huang L, Zhong J, Hu G. LARO: Opposition-Based Learning Boosted Artificial Rabbits-Inspired Optimization Algorithm with Lévy Flight. Symmetry 2022;14:2282. [DOI: 10.3390/sym14112282] [Reference Citation Analysis]
4 Habibi F, Abbasi A, Chakrabortty RK. Designing an efficient vaccine supply chain network using a two-phase optimization approach: a case study of COVID-19 vaccine. International Journal of Systems Science: Operations & Logistics 2022. [DOI: 10.1080/23302674.2022.2121623] [Reference Citation Analysis]
5 Chen Y, Wang L, Liu G, Xia B. Automatic Parking Path Optimization Based on Immune Moth Flame Algorithm for Intelligent Vehicles. Symmetry 2022;14:1923. [DOI: 10.3390/sym14091923] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Gharehchopogh FS, Nadimi-shahraki MH, Barshandeh S, Abdollahzadeh B, Zamani H. CQFFA: A Chaotic Quasi-oppositional Farmland Fertility Algorithm for Solving Engineering Optimization Problems. J Bionic Eng. [DOI: 10.1007/s42235-022-00255-4] [Reference Citation Analysis]
7 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]
8 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]
9 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]
10 Nadimi-shahraki MH, Taghian S, Mirjalili S, Abualigah L. Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study. Mathematics 2022;10:1929. [DOI: 10.3390/math10111929] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
11 Ali MAS, Balasubramanian K, Krishnamoorthy GD, Muthusamy S, Pandiyan S, Panchal H, Mann S, Thangaraj K, El-attar NE, Abualigah L, Abd Elminaam DS. Classification of Glaucoma Based on Elephant-Herding Optimization Algorithm and Deep Belief Network. Electronics 2022;11:1763. [DOI: 10.3390/electronics11111763] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
12 Aldosari F, Abualigah L, Almotairi KH. A Normal Distributed Dwarf Mongoose Optimization Algorithm for Global Optimization and Data Clustering Applications. Symmetry 2022;14:1021. [DOI: 10.3390/sym14051021] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
13 Nadimi-shahraki MH, Taghian S, Mirjalili S, Zamani H, Bahreininejad A. GGWO: Gaze Cues Learning-based Grey Wolf Optimizer and its Applications for Solving Engineering Problems. Journal of Computational Science 2022. [DOI: 10.1016/j.jocs.2022.101636] [Cited by in Crossref: 16] [Cited by in F6Publishing: 9] [Article Influence: 16.0] [Reference Citation Analysis]
14 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]