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A new hybrid method based on Aquila optimizer and tangent search algorithm for global optimization
Since no single algorithm can provide the optimal solutions for all problems, new metaheuristic methods are always being proposed or developed by combining current algorithms or creating adaptable versions. Metaheuristic methods should have a balanced exploitation and exploration stages. One of thes...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358922/ https://www.ncbi.nlm.nih.gov/pubmed/35968266 http://dx.doi.org/10.1007/s12652-022-04347-1 |