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JOURNALS // Journal of Siberian Federal University. Mathematics & Physics // Archive

J. Sib. Fed. Univ. Math. Phys., 2013 Volume 6, Issue 4, Pages 506–515 (Mi jsfu334)

This article is cited in 4 papers

Optimization problems with random data

Olga A. Popova

Institute of Space and Information Technology, Siberian Federal University, Kirenskogo, 26, Krasnoyarsk, 660074, Russia

Abstract: The article discusses a new approach to optimization problems with random input parameters, which is defined as a random programming. This approach uses a numerical probability analysis and allows us to construct the set of solutions of the optimization problem based on the joint probability density function.

Keywords: numerical probabilistic analysis, random programming, mathematical programming.

UDC: 519.4

Received: 10.05.2013
Received in revised form: 10.07.2013
Accepted: 20.09.2013

Language: English



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