Detail publikace

Scenario Generation And Analysis by Heuristic Algorithms

ROUPEC, J. POPELA, P.

Originální název

Scenario Generation And Analysis by Heuristic Algorithms

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The main purpose of this paper is to present how to use heuristic approaches, especially genetic algorithms, to a scenario manipulation in two-stage stochastic programming. The proposed technique is implemented in C++ and GANS and then tested on real-data examples.

Klíčová slova

Stochastic programming; scenarios; worst case analysis; heuristic and genetic algorithms

Autoři

ROUPEC, J.; POPELA, P.

Rok RIV

2007

Vydáno

24. 10. 2007

Nakladatel

Newswood Limited, International Association of Engineers

ISBN

978-988-98671-6-4

Kniha

Proceedings of the World Congress on Engineering and Computer Science 2007

Strany od

931

Strany do

935

Strany počet

5

BibTex

@inproceedings{BUT25762,
  author="Jan {Roupec} and Pavel {Popela}",
  title="Scenario Generation And Analysis by Heuristic Algorithms",
  booktitle="Proceedings of the World Congress on Engineering and Computer Science 2007",
  year="2007",
  pages="931--935",
  publisher="Newswood Limited, International Association of Engineers",
  isbn="978-988-98671-6-4"
}