Several different approaches have been suggested for the numerical solution of the global optimization problem: space covering methods, trajectory methods, random sampling, random search and methods based on a stochastic model of the objective function are considered in this paper and their relative computational effectiveness is discussed. A closer analysis is performed of random sampling methods along with cluster analysis of sampled data and of Bayesian nonparametric stopping rules. © 1984 J.C. Baltzer A.G., Scientific Publishing Company.

Archetti, F., Schoen, F. (1984). A survey on the global optimization problem: General theory and computational approaches. ANNALS OF OPERATIONS RESEARCH, 1(2), 110 [10.1007/BF01876141].

A survey on the global optimization problem: General theory and computational approaches

ARCHETTI, FRANCESCO ANTONIO;
1984

Abstract

Several different approaches have been suggested for the numerical solution of the global optimization problem: space covering methods, trajectory methods, random sampling, random search and methods based on a stochastic model of the objective function are considered in this paper and their relative computational effectiveness is discussed. A closer analysis is performed of random sampling methods along with cluster analysis of sampled data and of Bayesian nonparametric stopping rules. © 1984 J.C. Baltzer A.G., Scientific Publishing Company.
Articolo in rivista - Articolo scientifico
Bayesian statistics; Global optimization; random search; statistical optimization;
GLOBAL OPTIMIZATION, STATISTICAL OPTIMIZATION, BAYESIAN STATISTICS, RANDOM SEARCH
English
1984
1
2
110
none
Archetti, F., Schoen, F. (1984). A survey on the global optimization problem: General theory and computational approaches. ANNALS OF OPERATIONS RESEARCH, 1(2), 110 [10.1007/BF01876141].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/42214
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