Ivorra, Benjamín Pierre PaulMohammadi, BijanRamos Del Olmo, Ángel Manuel2023-06-202023-06-202008https://hdl.handle.net/20.500.14352/56490In 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 algorithmengtechnical reporthttp://www.researchgate.net/publication/254839962_Optimizing_Initial_Guesses_to_Improve_Global_Minimizationhttp://www.mat.ucm.es/deptos/maopen access519.863004.421:575.8Global optimizationDynamical SystemsSemi-Deterministic AlgorithmsGenetic Algorithms.Investigación operativa (Matemáticas)1207 Investigación Operativa