Robust design using a hybrid-cellular-evolutionary and interval-arithmetic approach: a reliability application

被引:26
|
作者
Rocco, CM [1 ]
Moreno, JA [1 ]
Carrasquero, N [1 ]
机构
[1] Cent Univ Venezuela, Fac Ingn, Caracas 1040A, Venezuela
关键词
modelling and simulation; evolutionary strategy; interval arithmetic; robust design; global optimisation; sensitivity analysis;
D O I
10.1016/S0951-8320(02)00226-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Sensitivity analysis is a technique by which one can determine, with good approximation, whether a system will work within the specification limits when the input vary between their limits. Although this type of analysis, from input to output, can provide useful information to the decision-maker, we present an approach based on the use of Cellular Evolutionary Strategies and Interval Arithmetic in which the inverse problem can be solved. That is, we move from output to input: starting with output range specifications, we infer the maximum uncertainty or variability that can be exhibited by the input parameters. The approach used is an indirect method based on optimisation instead of a direct method based on mapping from the output into the input space. The proposed approach is illustrated by computational examples applied to a reliability complex system. Results are compared with those obtained using a general non-linear optimisation package. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:149 / 159
页数:11
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