Detail publikačního výsledku

Scenario Generation And Analysis by Heuristic Algorithms

ROUPEC, J.; POPELA, P.

Originální název

Scenario Generation And Analysis by Heuristic Algorithms

Anglický název

Scenario Generation And Analysis by Heuristic Algorithms

Druh

Stať ve sborníku v databázi WoS či Scopus

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.

Anglický 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

Klíčová slova v angličtině

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

Autoři

ROUPEC, J.; POPELA, P.

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"
}