Detail publikace

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

MATOUŠEK, R. POPELA, P. KŮDELA, J.

Originální název

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

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

MATOUŠEK, R.; POPELA, P.; KŮDELA, J.

Vydáno

1. 6. 2017

Nakladatel

Brno University of Technology

Místo

Brno, Czech Republic

ISSN

1803-3814

Periodikum

Mendel Journal series

Ročník

23 (2017)

Číslo

1

Stát

Česká republika

Strany od

73

Strany do

78

Strany počet

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"
}