2026-07-28T14:33:07Zhttps://docta.ucm.es/rest/oai/request

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

Optimizing initial guesses to improve global minimization Ivorra, Benjamín Pierre Paul Mohammadi, Bijan Ramos Del Olmo, Ángel Manuel 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 2023-06-20T16:38:05Z 2023-06-20T16:38:05Z 2023-06-20T16:38:05Z 2008 technical report https://hdl.handle.net/20.500.14352/56490 XXXX-XXXX eng MTM2007-64540 Ingenio Matematica (i-MATH) No. CSD2006-00032 (Consolider-Ingenio 2010) CCG07- UCM/ESP-2787 open access Departamento de Matemática Aplicada, Universidad Complutense