Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Roman Knobloch"'
Autor:
Roman Knobloch, Jaroslav Mlynek
Publikováno v:
2022 20th International Conference on Mechatronics - Mechatronika (ME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::776b5626eb7d12cef0e9fec9a8558a95
https://doi.org/10.1109/me54704.2022.9983063
https://doi.org/10.1109/me54704.2022.9983063
Autor:
Roman Knobloch, Jaroslav Mlýnek
Publikováno v:
Neural Network World. 30:249-263
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ecf6aa765560aabd623a0ccd03c82bb
https://doi.org/10.14311/nnw.2020.30.017
https://doi.org/10.14311/nnw.2020.30.017
Publikováno v:
2020 19th International Conference on Mechatronics - Mechatronika (ME).
Polymer frame composites are increasingly applied in aerospace and automotive industry. These composites are primarily preferred due to their excellent mechanical and physical properties, in particular their eminent tensile strength and exquisite fle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c79585cb1cfd8dcd36c50a184475c8f0
https://doi.org/10.1109/me49197.2020.9286625
https://doi.org/10.1109/me49197.2020.9286625
Autor:
Jaroslav Mlýnek, Roman Knobloch
Publikováno v:
Applications of Mathematics. 63:111-124
This article focuses on heat radiation intensity optimization on the surface of a shell metal mould. Such moulds are used in the automotive industry in the artificial leather production (the artificial leather is used, e.g., on car dashboards). The m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8465a413e2a3d6d14a44c660f752d6ed
https://doi.org/10.21136/am.2018.0086-17
https://doi.org/10.21136/am.2018.0086-17
Publikováno v:
APPLICATIONS OF MATHEMATICS. 62:197-208
Differential evolution algorithms represent an up to date and efficient way of solving complicated optimization tasks. In this article we concentrate on the ability of the differential evolution algorithms to attain the global minimum of the cost fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12046ca09dcfdef67ac63d5fcb021490
https://doi.org/10.21136/am.2017.0274-16
https://doi.org/10.21136/am.2017.0274-16
Autor:
Roman Knobloch
Publikováno v:
AIP Conference Proceedings.
Differential evolution algorithms represent nowadays an efficient framework to cope with complex optimization tasks with many variables and involved constraints. Nevertheless, the classic differential evolution algorithms do not ensure the global con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0727496807db0d03d2d86372f6542e07
https://doi.org/10.1063/1.5082064
https://doi.org/10.1063/1.5082064
Autor:
Roman Knobloch, Jaroslav Mlýnek
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319659596
This article focuses on the heat conduction in shell metal moulds. Such moulds are used in the automotive industry at the artificial leather production. The outer part of the mould is heated by infrared heaters, and after the required temperature is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5342afb52fea76564731ebdf9e2044f5
https://doi.org/10.1007/978-3-319-65960-2_45
https://doi.org/10.1007/978-3-319-65960-2_45
Publikováno v:
AIP Conference Proceedings.
Differential evolution algorithms represent an efficient framework to solve complicated optimization tasks with many variables and complex constraints. Nevertheless, the classic differential evolution algorithm does not guarantee the convergence to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db7dd942107f4b3dd27412f9debb785
https://doi.org/10.1063/1.5013964
https://doi.org/10.1063/1.5013964
Publikováno v:
ECMS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89ceac176dd2fe789cb7ece338939e1a
https://doi.org/10.7148/2016-0425
https://doi.org/10.7148/2016-0425
Publikováno v:
AIP Conference Proceedings.
The differential evolution is a popular and efficient way to solve complicated optimization tasks with many variables and constraints. In this article we study the ability of the differential evolution algorithms to attain the global minimum of the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec0db4bcdcc9ba473b066e57fbaba219
https://doi.org/10.1063/1.4968451
https://doi.org/10.1063/1.4968451