Publication detail

HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES

MATOUŠEK, R. POPELA, P. KŮDELA, J.

Original Title

HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES

Type

journal article in Scopus

Language

English

Original Abstract

One of the crucial problems in the dynamics and automatic control theory is balancing of an inverted pendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for di erent method comparison. In the practical use of the LQR method, the key problem is how to choose weight matrices Q and R correctly. To obtain satisfying results the experiments should be repeated many times with di erent parameters of weight matrices. These LQR parameters can be tuned by a Genetic Algorithm (GA) technique for getting better results.

Keywords

quadratic assignment problem, stochastic quadratic assignment problem, VaR and CVaR deterministic reformulations, genetic algorithm

Authors

MATOUŠEK, R.; POPELA, P.; KŮDELA, J.

Released

1. 6. 2017

Publisher

Brno University of Technology

Location

Brno, Czech Republic

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

23 (2017)

Number

1

State

Czech Republic

Pages from

73

Pages to

78

Pages count

202

URL

https://mendel-journal.org/index.php/mendel/article/view/55

BibTex

@article{BUT147367,
  author="Radomil {Matoušek} and Pavel {Popela} and Jakub {Kůdela}",
  title="HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES",
  journal="Mendel Journal series",
  year="2017",
  volume="23 (2017)",
  number="1",
  pages="73--78",
  doi="10.13164/mendel.2017.1.073",
  issn="1803-3814",
  url="https://mendel-journal.org/index.php/mendel/article/view/55"
}