HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F17%3APU127903" target="_blank" >RIV/00216305:26210/17:PU127903 - isvavai.cz</a>
Result on the web
<a href="http://www.mendel-scj.org" target="_blank" >http://www.mendel-scj.org</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/mendel.2017.1.073" target="_blank" >10.13164/mendel.2017.1.073</a>
Alternative languages
Result language
angličtina
Original language name
HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-21360S" target="_blank" >GA17-21360S: Advances in Snake-like Robot Control</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel Journal series
ISSN
1803-3814
e-ISSN
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Volume of the periodical
23 (2017)
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
202
Pages from-to
73-78
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85042296706