An Evolution Model For Monte Carlo Estimation Of Equilibrium Network Renewal Parameters

T. Elperin; I. Gertsbakh; M. Lomonosov

doi:10.1017/S0269964800002679

An Evolution Model For Monte Carlo Estimation Of Equilibrium Network Renewal Parameters

T. Elperin
, I. Gertsbakh
, M. Lomonosov

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

This paper presents Monte Carlo techniques for evaluating equilibrium availability and mean up and down periods of a renewable network for a wide class of network operational criteria. The suggested method is based on a graph evolution model that overcomes the main difficulty —hitting low-probability “border” states of the criterion. Theoretical efficiency of the method is briefly discussed and numerical results are presented.

Original language	English
Pages (from-to)	457-469
Number of pages	13
Journal	Probability in the Engineering and Informational Sciences
Volume	6
Issue number	4
DOIs	https://doi.org/10.1017/S0269964800002679
State	Published - 1 Jan 1992

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty
Management Science and Operations Research
Industrial and Manufacturing Engineering

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10.1017/S0269964800002679

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title = "An Evolution Model For Monte Carlo Estimation Of Equilibrium Network Renewal Parameters",

abstract = "This paper presents Monte Carlo techniques for evaluating equilibrium availability and mean up and down periods of a renewable network for a wide class of network operational criteria. The suggested method is based on a graph evolution model that overcomes the main difficulty —hitting low-probability “border” states of the criterion. Theoretical efficiency of the method is briefly discussed and numerical results are presented.",

author = "T. Elperin and I. Gertsbakh and M. Lomonosov",

year = "1992",

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AU - Elperin, T.

AU - Gertsbakh, I.

AU - Lomonosov, M.

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Y1 - 1992/1/1

N2 - This paper presents Monte Carlo techniques for evaluating equilibrium availability and mean up and down periods of a renewable network for a wide class of network operational criteria. The suggested method is based on a graph evolution model that overcomes the main difficulty —hitting low-probability “border” states of the criterion. Theoretical efficiency of the method is briefly discussed and numerical results are presented.

AB - This paper presents Monte Carlo techniques for evaluating equilibrium availability and mean up and down periods of a renewable network for a wide class of network operational criteria. The suggested method is based on a graph evolution model that overcomes the main difficulty —hitting low-probability “border” states of the criterion. Theoretical efficiency of the method is briefly discussed and numerical results are presented.

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U2 - 10.1017/S0269964800002679

DO - 10.1017/S0269964800002679

M3 - Article

AN - SCOPUS:84976084913

SN - 0269-9648

VL - 6

SP - 457

EP - 469

JO - Probability in the Engineering and Informational Sciences

JF - Probability in the Engineering and Informational Sciences

IS - 4

ER -

An Evolution Model For Monte Carlo Estimation Of Equilibrium Network Renewal Parameters

Abstract

ASJC Scopus subject areas

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