Publication detail
Two approaches to multi-criteria stochastic programming in beam design problem
MRÁZKOVÁ, E. POPELA, P.
English title
Two approaches to multi-criteria stochastic programming in beam design problem
Type
Paper in proceedings (conference paper)
Language
en
Original abstract
Multi-criteria stochastic programming approach is applied to a problem concerning an optimal design of beam dimensions. The corresponding mathematical model involves two criteria, an ODE-type constraint and an uncertain parameter related to the material characteristics. Two approaches to solving multi-criteria optimization problems are discussed in this paper. The first approach results in efficient frontier construction. The second method employs the weighted sum of multiple objectives. Finally, a parametric analysis with respect to the weighting coefficients is presented and three types of solutions are obtained.
Keywords in English
stochastic programming, multi-criteria optimization, efficient frontier, weigthed sum approach, beam design
Released
2012-06-27
Publisher
VUT
Location
Brno
ISBN
978-80-214-4540-6
ISSN
1803-3814
Book
18th International Conference of Soft Computing, MENDEL 2012 (id 19255)
Journal
Mendel Journal series
Volume
2012
Number
1
Pages from–to
393–397
Pages count
5
BIBTEX
@inproceedings{BUT93649,
author="Eva {Mrázková} and Pavel {Popela}",
title="Two approaches to multi-criteria stochastic programming in beam design problem",
booktitle="18th International Conference of Soft Computing, MENDEL 2012 (id 19255)",
year="2012",
series="2012",
journal="Mendel Journal series",
volume="2012",
number="1",
pages="393--397",
publisher="VUT",
address="Brno",
isbn="978-80-214-4540-6",
issn="1803-3814"
}