Publication detail
HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES
MATOUŠEK, R. POPELA, P. KŮDELA, J.
English title
HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES
Type
journal article in Scopus
Language
en
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.
English 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 in English
quadratic assignment problem, stochastic quadratic assignment problem, VaR and CVaR deterministic reformulations, genetic algorithm
Released
01.06.2017
Publisher
Brno University of Technology
Location
Brno, Czech Republic
ISSN
1803-3814
Volume
23 (2017)
Number
1
Pages from–to
73–78
Pages count
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"
}