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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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Mohammad Hasani Zade B, Mansouri N, Javidi M. Multi-objective scheduling technique based on hybrid hitchcock bird algorithm and fuzzy signature in cloud computing. Engineering Applications of Artificial Intelligence 2021;104:104372. [DOI: 10.1016/j.engappai.2021.104372] [Reference Citation Analysis]
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Yıldız M, Panagant N, Pholdee N, Bureerat S, Sait SM, Rıza Yıldız A. Hybrid Taguchi-Lévy flight distribution optimization algorithm for solving real-world design optimization problems. Materials Testing 2021;63:547-51. [DOI: 10.1515/mt-2020-0091] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
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Abderazek H, Hamza F, Yildiz AR, Gao L, Sait SM. A comparative analysis of the queuing search algorithm, the sine-cosine algorithm, the ant lion algorithm to determine the optimal weight design problem of a spur gear drive system. Materials Testing 2021;63:442-7. [DOI: 10.1515/mt-2020-0075] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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Panagant N, Yıldız M, Pholdee N, Yıldız AR, Bureerat S, Sait SM. A novel hybrid marine predators-Nelder-Mead optimization algorithm for the optimal design of engineering problems. Materials Testing 2021;63:453-7. [DOI: 10.1515/mt-2020-0077] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
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Gürses D, Bureerat S, Sait SM, Yıldız AR. Comparison of the arithmetic optimization algorithm, the slime mold optimization algorithm, the marine predators algorithm, the salp swarm algorithm for real-world engineering applications. Materials Testing 2021;63:448-52. [DOI: 10.1515/mt-2020-0076] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
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Yıldız BS, Patel V, Pholdee N, Sait SM, Bureerat S, Yıldız AR. Conceptual comparison of the ecogeography-based algorithm, equilibrium algorithm, marine predators algorithm and slime mold algorithm for optimal product design. Materials Testing 2021;63:336-40. [DOI: 10.1515/mt-2020-0049] [Cited by in Crossref: 35] [Cited by in F6Publishing: 37] [Article Influence: 17.5] [Reference Citation Analysis]
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Yıldız BS, Pholdee N, Bureerat S, Erdaş MU, Yıldız AR, Sait SM. Comparision of the political optimization algorithm, the Archimedes optimization algorithm and the Levy flight algorithm for design optimization in industry. Materials Testing 2021;63:356-9. [DOI: 10.1515/mt-2020-0053] [Cited by in Crossref: 33] [Cited by in F6Publishing: 36] [Article Influence: 16.5] [Reference Citation Analysis]
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Pholdee N, Patel VK, Sait SM, Bureerat S, Yıldız AR. Hybrid spotted hyena–Nelder-Mead optimization algorithm for selection of optimal machining parameters in grinding operations. Materials Testing 2021;63:293-298. [DOI: 10.1515/mt-2020-0043] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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Panagant N, Pholdee N, Bureerat S, Kaen K, Yıldız AR, Sait SM. Seagull optimization algorithm for solving real-world design optimization problems. Materials Testing 2020;62:640-4. [DOI: 10.3139/120.111529] [Cited by in Crossref: 52] [Cited by in F6Publishing: 55] [Article Influence: 26.0] [Reference Citation Analysis]
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