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oai:docta.ucm.es:20.500.14352/564902025-05-23T23:56:00Zcom_20.500.14352_14col_20.500.14352_17

Ivorra, Benjamín Pierre Paul Mohammadi, Bijan Ramos Del Olmo, Ángel Manuel 2023-06-20T16:38:05Z 2023-06-20T16:38:05Z 2008 https://hdl.handle.net/20.500.14352/56490 http://www.researchgate.net/publication/254839962_Optimizing_Initial_Guesses_to_Improve_Global_Minimization http://www.mat.ucm.es/deptos/ma In this paper, we envision global optimization as finding, for a given calculation complexity, a suitable initial guess of a considered optimization algorithm. One can imagine that this possibility clearly improve the capacity of existing optimization algorithms, including stochastic ones. This approach is validated on several large dimension nonlinear minimization problems. Results are compared with those obtained by a geneti algorithm eng open access Optimizing initial guesses to improve global minimization technical report