Detail publikace

Two-Stage Stochastic Programming for Transportation Network Design Problem

HRABEC, D. POPELA, P. ROUPEC, J. MAZAL, J. STODOLA, P.

Anglický název

Two-Stage Stochastic Programming for Transportation Network Design Problem

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

The transportation network design problem is a well-known optimization problem with many practical applications. This paper deals with demand-based applications, where the operational as well as many other decisions are often made under uncertainty. Capturing the uncertain demand by using scenario-based approach, we formulate the two-stage stochastic mixed-integer linear problem, where the decision, which is made under uncertainty, of the first-stage program, is followed by the second-stage decision that reacts to the observed demand. Such a program may reach solvability limitations of algorithms for large scale real world data, so we refer to the so-called hybrid algorithm that combines a traditional optimization algorithm and a suitable genetic algorithm. The obtained results are presented in an explanatory form with the use of a sequence of figures.

Klíčová slova anglicky

two-stage stochastic programming, scenario-based approach, transportation model, network design problem, genetic algorithm, hybrid algorithm

Vydáno

2015-07-08

ISBN

978-3-319-19824-8

ISSN

2194-5357

Kniha

Mendel 2015: Recent Advances in Soft Computing

Ročník

378

Číslo

1

Strany od–do

17–25

Počet stran

9

BIBTEX


@inproceedings{BUT115205,
  author="Dušan {Hrabec} and Pavel {Popela} and Jan {Roupec} and Jan {Mazal} and Petr {Stodola}",
  title="Two-Stage Stochastic Programming for Transportation Network Design Problem",
  booktitle="Mendel 2015: Recent Advances in Soft Computing",
  year="2015",
  journal="Advances in Intelligent Systems and Computing",
  volume="378",
  number="1",
  pages="17--25",
  doi="10.1007/978-3-319-19824-8\{_}2",
  isbn="978-3-319-19824-8",
  issn="2194-5357"
}