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"
}