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Optimizing initial guesses to improve global minimization

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Ivorra, Benjamin and Mohammadi, Bijan and Ramos del Olmo, Ángel Manuel (2008) Optimizing initial guesses to improve global minimization. [ nº 6, ] (Submitted)

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Official URL: http://www.researchgate.net/publication/254839962_Optimizing_Initial_Guesses_to_Improve_Global_Minimization


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http://www.mat.ucm.es/deptos/maOrganisation


Abstract

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


Item Type:Working Paper or Technical Report
Uncontrolled Keywords:Global optimization, Dynamical Systems, Semi-Deterministic Algorithms, Genetic Algorithms.
Subjects:Sciences > Mathematics > Operations research
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Number:6
ID Code:29285
Deposited On:23 Mar 2015 11:20
Last Modified:12 Dec 2018 15:07

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