Paper Info
Title
Sensitivity and uncertainty analysis in optimization programs using an evolutionary approach: a maintenance application
Abstract
Indirect-Grouping Maintenance Strategy requires the calculation of an optimum (global) according to a minimization program P. However the model on which the optimal is based may be incomplete in the sense that important uncertainties have not been considered. In order to evaluate the effects of the uncertainty of the parameters or how the uncertainty is propagated in the optimization program, the decision-maker needs to evaluate the range of variation of program P. In this work an innovative two step evolutionary approach to analyze uncertainties in Indirect-Grouping Maintenance Strategies is presented. The proposed approach combines the two proven techniques of Cellular Evolutionary Strategies (CES) and Evolutionary Strategies (ES) for the optimization problem. The approach does not guarantee the global optimum, but the experiments show that the results are very close to the real one. The examples presented confirm that the approach produces very good approximations for the range of the minimum when there is uncertainty in the model parameters and can be used as a tool for uncertainty/sensitivity analysis in other areas. (C) 2000 Elsevier Science Ltd. All rights reserved.
Year
DOI
Venue
2000
10.1016/S0951-8320(99)00065-4
RELIABILITY ENGINEERING & SYSTEM SAFETY
Keywords
DocType
Volume
R&M requirements,modeling and simulation,uncertainty,risk and safety management,evolutionary strategy
Journal
67
Issue
ISSN
Citations 
3
0951-8320
6
PageRank 
References 
Authors
0.66
0
5
Name
Order
Citations
PageRank
Claudio M. Rocco Sanseverino19310.31
A. J. Miller260.66
José Alí Moreno3658.60
N. Carrasquero471.06
Manuel Medina560.66