Modeling and Identification in the Problems of Multicriteria Optimization with Linear and Quadratic Performance Criteria under Statistical Uncertainty

Alexander M. Nazarenko; Marina V. Karpusha

doi:10.1615/JAutomatInfScien.v46.i3.30

Journal of Automation and Information Sciences

Editor chefe: Arkadiy A. Chikriy (open in a new tab)

Editor associados: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

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Modeling and Identification in the Problems of Multicriteria Optimization with Linear and Quadratic Performance Criteria under Statistical Uncertainty

Volume 46, Edição 3, 2014, pp. 17-29

DOI: 10.1615/JAutomatInfScien.v46.i3.30

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Alexander M. Nazarenko
Sumy State University

Marina V. Karpusha
Sumy State University

RESUMO

Various methods of unknown parameters identification in the problems of multicriteria optimization under uncertainty with linear and quadratic objective function have been proposed. Parametric identification was made in framework of discrete-continuous models with dummy variables and multiple logit-model. Also there was developed the approach which is based on the construction of functional forms and includes the effects of the second order.

Palavras-chave: multicriteria optimization problem, quadratic performance criteria, discrete-continuous model, multiple logit- model

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