Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)

Scheduler of CNC-RGV System based on STFF Model

Authors
Yuang Dai, Julan Cao
Corresponding Author
Yuang Dai
Available Online July 2019.
DOI
https://doi.org/10.2991/iccia-19.2019.83How to use a DOI?
Keywords
RGV-CNC, a smart model, Genetic Algorithm.
Abstract

To improve the working efficiency of RGV-CNC processing system, we develop a smart model which have the function of predicative controlling and receding horizon. It can be universally applied to the situation which contains one or more processes. We use Genetic Algorithm to optimize the workflow and obtain successful results.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
Series
Advances in Computer Science Research
Publication Date
July 2019
ISBN
978-94-6252-760-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-19.2019.83How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yuang Dai
AU  - Julan Cao
PY  - 2019/07
DA  - 2019/07
TI  - Scheduler of CNC-RGV System based on STFF Model
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 534
EP  - 537
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.83
DO  - https://doi.org/10.2991/iccia-19.2019.83
ID  - Dai2019/07
ER  -