Bayes approach to solving T.E.A.M. benchmark problems 22 and 25 and its comparison with other optimization techniques
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F18%3A43932182" target="_blank" >RIV/49777513:23220/18:43932182 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S0096300317305040" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0096300317305040</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.amc.2017.07.043" target="_blank" >10.1016/j.amc.2017.07.043</a>
Alternative languages
Result language
angličtina
Original language name
Bayes approach to solving T.E.A.M. benchmark problems 22 and 25 and its comparison with other optimization techniques
Original language description
The Bayes approach is used for solution of benchmark problems 22 and 25. The main purpose of the paper is to evaluate its applicability for solving complex technical problems (up to now, this technique was only very rarely used in the domain of such tasks). The parameters of this approach are compared with characteristics of several other heuristic and deterministic optimization techniques implemented in commercial code COMSOL Multiphysics and own open-source application Agros Suite. The results confirm that the Bayes approach is superior in a number of aspects and for the solution of real-life tasks it represents a powerful and prospective alternative to existing optimization methods.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/LO1607" target="_blank" >LO1607: RICE - New technologies and concepts for smart industrial system</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Mathematics and Computation
ISSN
0096-3003
e-ISSN
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Volume of the periodical
319
Issue of the periodical within the volume
15 February
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
681-692
UT code for WoS article
000415906200053
EID of the result in the Scopus database
2-s2.0-85026756954