Titre du document / Document title

A lower for the correct subset-selection probability and its application to discrete-event system simulations

Auteur(s) / Author(s)

CHEN C.-H. ⁽¹⁾ ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

⁽¹⁾ Department of Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104-6315, ETATS-UNIS

Résumé / Abstract

Ordinal optimization concentrates on finding a subset of good designs, by approximately evaluating a parallel set of designs, and reduces the required simulation time dramatically for discrete-event simulation and optimization. The estimation of the confidence probability (CP) that the selected designs contain at least one good design is crucial to ordinal optimization. However, it is very difficult to estimate this probability in DES simulation, especially for complicated DES with large number of designs. This paper proposes two simple lower bounds for quantifying the confidence probability. Numerical testing will be presented.

Revue / Journal Title

IEEE transactions on automatic control    ISSN  0018-9286   CODEN IETAA9 

Source / Source

1996, vol. 41, n^o8, pp. 1227-1231 (16 ref.)

Langue / Language

Anglais

Editeur / Publisher

Institute of Electrical and Electronics Engineers, New York, NY, ETATS-UNIS  (1963) (Revue)

Mots-clés anglais / English Keywords

Simulation

;

Large scale system

;

Discrete event system

;

Optimization

;

Selection

;

Mots-clés français / French Keywords

Simulation

;

Système grande taille

;

Système événement discret

;

Optimisation

;

Sélection

;

Mots-clés espagnols / Spanish Keywords

Simulación

;

Sistema gran escala

;

Sistema acontecimiento discreto

;

Optimización

;

Selección

;

Localisation / Location

INIST-CNRS, Cote INIST : 222 E4, 35400006392501.0190