Detail publikace

Scenario Generation And Analysis by Heuristic Algorithms

Originální název

Scenario Generation And Analysis by Heuristic Algorithms

Anglický název

Scenario Generation And Analysis by Heuristic Algorithms

Jazyk

en

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.

BibTex


@inproceedings{BUT25762,
  author="Jan {Roupec} and Pavel {Popela}",
  title="Scenario Generation And Analysis by Heuristic Algorithms",
  annote="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.",
  address="Newswood Limited, International Association of Engineers",
  booktitle="Proceedings of the World Congress on Engineering and Computer Science 2007",
  chapter="25762",
  howpublished="print",
  institution="Newswood Limited, International Association of Engineers",
  year="2007",
  month="october",
  pages="931--935",
  publisher="Newswood Limited, International Association of Engineers",
  type="conference paper"
}