Detail publikace

Two approaches to multi-criteria stochastic programming in beam design problem

Originální název

Two approaches to multi-criteria stochastic programming in beam design problem

Anglický název

Two approaches to multi-criteria stochastic programming in beam design problem

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@inproceedings{BUT93649,
  author="Eva {Mrázková} and Pavel {Popela}",
  title="Two approaches to multi-criteria stochastic programming in beam design problem",
  annote="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.",
  address="VUT",
  booktitle="18th International Conference of Soft Computing, MENDEL 2012 (id 19255)",
  chapter="93649",
  edition="2012",
  howpublished="print",
  institution="VUT",
  number="1",
  year="2012",
  month="june",
  pages="393--397",
  publisher="VUT",
  type="conference paper"
}