New horizons in sphere-packing theory, part II: lattice-based derivative-free optimization via global surrogates

Derivative-free algorithms are frequently required for the optimization of nonsmooth scalar functions in n dimensions resulting, for example, from physical experiments or from the statistical averaging of numerical simulations of chaotic systems such as turbulent flows. The core idea of all efficien...

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Bibliographic Details
Published in:	Journal of global optimization Vol. 56; no. 1; pp. 61 - 91
Main Authors:	Belitz, Paul, Bewley, Thomas
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.05.2013 Springer Springer Nature B.V
Subjects:	Algorithms Analysis Approximation Computer Science Global Positioning System Mathematics Mathematics and Statistics Methods Numerical analysis Operations Research/Decision Theory Optimization Optimization algorithms Packing problem Pattern recognition Real Functions Simplex method Simulation Studies Trends Turbulence Generalized pattern search Global optimization Surrogate-based methods N-dimensional sphere-packing theory Kriging interpolation Derivative-free optimization
ISSN:	0925-5001, 1573-2916
Online Access:	Get full text
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