INTRODUCTION OF A ROBUSTNESS COEFFICIENT IN OPTIMIZATION PROCEDURES - IMPLEMENTATION IN MIXTURE DESIGN-PROBLEMS .1. THEORY

被引：11

作者：

DEBOER, JH

SMILDE, AK

DOORNBOS, DA

机构：

[1] Research Group Chemometrics, University Centre for Pharmacy, University of Groningen, Antonius Deusinglaan 2

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1990年 / 7卷 / 03期

关键词：

D O I：

10.1016/0169-7439(90)80113-K

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

De Boer, J.H., Smilde, A.K. and Doornbos, D.A., 1990. Introduction of a robustness coefficient in optimization procedures: implementation in mixture design problems. Part I: Theory. Chemometrics and Intelligent Laboratory Systems, 7: 223-236. A robustness coefficient is introduced which is designed to deal with the sensitivity of an optimised response towards small variations in the design variables. This robustness coefficient takes account of the variance with which the design variables can be set to a value. A particular problem arises, especially in the area of optimization of mixture experiments. The variance / covariance structure of the error with which the design variables can be set to a predefined value varies over the design space. The robustness coefficient is capable of dealing with this phenomenon. © 1990.

引用

页码：223 / 236

页数：14

共 13 条

[11]

Cohon, Multiobjective Programming and Planning, (1978)

[12]

Smilde, Knevelman, Coenegracht, Introduction of multi-criteria decision making in optimization procedures for high-performance liquid chromatographic separations, Journal of Chromatography, 369, pp. 1-10, (1986)

[13]

de Boer, Smilde, Doornbos, Introduction of multi criteria decision making in optimization procedures for pharmaceutical formations, Acta Pharmaceutica Technologica, 34, pp. 140-143, (1988)

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