2026-07-28T14:33:55Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/564902025-05-23T23:56:00Zcom_20.500.14352_14col_20.500.14352_17
Docta Complutense
author
Ivorra, Benjamín Pierre Paul
author
Mohammadi, Bijan
author
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
Optimizing initial guesses to improve global minimization
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Optimizing_initial_guesses.pdf
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Ivorra29.pdf.txt