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For: Li Y, Zhu X, Liu J. An Improved Moth-Flame Optimization Algorithm for Engineering Problems. Symmetry 2020;12:1234. [DOI: 10.3390/sym12081234] [Cited by in Crossref: 24] [Cited by in F6Publishing: 25] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Wei X, Huang H. A survey on several new popular swarm intelligence optimization algorithms.. [DOI: 10.21203/rs.3.rs-2450545/v1] [Reference Citation Analysis]
2 Zhang Y. Communication Path and Influence Analysis of Drama, Film and Television Performance of Data Technology. Application of Big Data, Blockchain, and Internet of Things for Education Informatization 2023. [DOI: 10.1007/978-3-031-23947-2_54] [Reference Citation Analysis]
3 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]
4 Alam MK, Sulaiman MH, Ferdowsi A, Sayem MS, Bin Khair NS. Moth Flame Optimization Algorithm including Renewable Energy for Minimization of Generation & Emission Costs in Optimal Power Flow. 2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE) 2022. [DOI: 10.1109/aceee56193.2022.9851834] [Reference Citation Analysis]
5 Price D, Radaideh MI, Kochunas B. Multiobjective optimization of nuclear microreactor reactivity control system operation with swarm and evolutionary algorithms. Nuclear Engineering and Design 2022;393:111776. [DOI: 10.1016/j.nucengdes.2022.111776] [Reference Citation Analysis]
6 Hameed R, Mustafa G, Majeed R, Renno F. Variations in 2D and 3D Models by a New Family of Subdivision Schemes and Algorithms for its Analysis. Mathematical Problems in Engineering 2022;2022:1-18. [DOI: 10.1155/2022/3661307] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Tan M, Li Y, Ding D, Zhou R, Huang C, Wang S. An Improved JADE Hybridizing with Tuna Swarm Optimization for Numerical Optimization Problems. Mathematical Problems in Engineering 2022;2022:1-17. [DOI: 10.1155/2022/7726548] [Reference Citation Analysis]
8 Zahia D, Mahdad B, Srairi K. Solving Energy Management Optimization Using Various Global Metaheuristics Methods. 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) 2022. [DOI: 10.1109/ssd54932.2022.9955804] [Reference Citation Analysis]
9 Wang F, Liao X, Fang N, Jiang Z. Optimal Scheduling of Regional Combined Heat and Power System Based on Improved MFO Algorithm. Energies 2022;15:3410. [DOI: 10.3390/en15093410] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Anand R, Samiaappan S, Veni S, Worch E, Zhou M. Airborne Hyperspectral Imagery for Band Selection Using Moth–Flame Metaheuristic Optimization. J Imaging 2022;8:126. [DOI: 10.3390/jimaging8050126] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Tunay M, Abiyev R, Wang G. Improved Hypercube Optimisation Search Algorithm for Optimisation of High Dimensional Functions. Mathematical Problems in Engineering 2022;2022:1-13. [DOI: 10.1155/2022/6872162] [Reference Citation Analysis]
12 El-shorbagy MA, Akgul A. Chaotic Fruit Fly Algorithm for Solving Engineering Design Problems. Complexity 2022;2022:1-19. [DOI: 10.1155/2022/6627409] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Nagarajan V, Solaiyappan A, Mahalingam SK, Nagarajan L, Salunkhe S, Nasr EA, Shanmugam R, Hussein HMAM. Meta-Heuristic Technique-Based Parametric Optimization for Electrochemical Machining of Monel 400 Alloys to Investigate the Material Removal Rate and the Sludge. Applied Sciences 2022;12:2793. [DOI: 10.3390/app12062793] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
14 Ye L, Huang H, Wei X. Optimization Improvement and Clustering Application Based on Moth-Flame Algorithm. Intelligent Computing Methodologies 2022. [DOI: 10.1007/978-3-031-13832-4_63] [Reference Citation Analysis]
15 Zahia D, Belkacem M. Optimal Power Flow Management of the Algerian Electric Transmission System Using Moth Flame Optimizer Algorithm. Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities 2022. [DOI: 10.1007/978-3-030-92038-8_7] [Reference Citation Analysis]
16 Zheng R, Jia H, Abualigah L, Wang S, Wu D; School of Information Engineering, Sanming University, Sanming 365004, China, Faculty of Computer Sciences and Informatics, Amman Arab University, Amman 11953, Jordan, School of Computer Science, Universiti Sains Malaysia, Penang 11800, Malaysia, School of Education and Music, Sanming University, Sanming 365004, China. . MBE 2022;19:3994-4037. [DOI: 10.3934/mbe.2022184] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
17 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]
18 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]
19 Abbaszadeh M, Ehteram M, Ahmed AN, Singh VP, Elshafie A. The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization. Earth Sci Inform 2021;14:2049-2075. [DOI: 10.1007/s12145-021-00667-6] [Reference Citation Analysis]
20 Çelik E, Öztürk N, Arya Y. Advancement of the search process of salp swarm algorithm for global optimization problems. Expert Systems with Applications 2021;182:115292. [DOI: 10.1016/j.eswa.2021.115292] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 7.5] [Reference Citation Analysis]
21 Nadimi-shahraki MH, Moeini E, Taghian S, Mirjalili S. DMFO-CD: A Discrete Moth-Flame Optimization Algorithm for Community Detection. Algorithms 2021;14:314. [DOI: 10.3390/a14110314] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 4.5] [Reference Citation Analysis]
22 Gul F, Mir I, Abualigah L, Sumari P, Forestiero A. A Consolidated Review of Path Planning and Optimization Techniques: Technical Perspectives and Future Directions. Electronics 2021;10:2250. [DOI: 10.3390/electronics10182250] [Cited by in Crossref: 30] [Cited by in F6Publishing: 32] [Article Influence: 15.0] [Reference Citation Analysis]
23 Kigsirisin S, Miyauchi H. Short-Term Operational Scheduling of Unit Commitment Using Binary Alternative Moth-Flame Optimization. IEEE Access 2021;9:12267-81. [DOI: 10.1109/access.2021.3051175] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]