Detail publikace

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

MATOUŠEK, R. POPELA, P. KŮDELA, J.

Anglický název

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

Typ

článek v časopise ve Scopus, Jsc

Jazyk

en

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.

Anglický 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 anglicky

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

Vydáno

01.06.2017

Nakladatel

Brno University of Technology

Místo

Brno, Czech Republic

ISSN

1803-3814

Ročník

23 (2017)

Číslo

1

Strany od–do

73–78

Počet stran

202

BIBTEX


@article{BUT147367,
  author="Radomil {Matoušek} and Pavel {Popela} and Jakub {Kůdela},
  title="HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES",
  year="2017",
  volume="23 (2017)",
  number="1",
  month="June",
  pages="73--78",
  publisher="Brno University of Technology",
  address="Brno, Czech Republic",
  issn="1803-3814"
}