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MATOUŠEK, R.; POPELA, P.; KŮDELA, J.
Original Title
HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES
English Title
Type
Scopus Article
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 dierent 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 dierent parameters of weight matrices. These LQR parameters can be tuned by a Genetic Algorithm (GA) technique for getting better results.
English abstract
Keywords
quadratic assignment problem, stochastic quadratic assignment problem, VaR and CVaR deterministic reformulations, genetic algorithm
Key words in English
Authors
RIV year
2019
Released
01.06.2017
Publisher
Brno University of Technology
Location
Brno, Czech Republic
ISBN
1803-3814
Periodical
Mendel Journal series
Volume
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" }