Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)

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Constrained Optimization of Resource Allocation in Colleges

Authors
Mengdie Ye
Corresponding Author
Mengdie Ye
Available Online March 2017.
DOI
10.2991/mecae-17.2017.86How to use a DOI?
Keywords
Constrained Optimization, Resource Allocation, Genetic Algorithms.
Abstract

In this thesis, the resource allocation model based on Immune Clone Algorithms, highly conforming to reality, brings various complicated factors in actual course arrangement into model computing. The solution shows that the model can effectively arrange courses in colleges and universities, which deserves popularization and application.

Copyright
© 2017, 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 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/mecae-17.2017.86
ISSN
2352-5401
DOI
10.2991/mecae-17.2017.86How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - CONF
AU  - Mengdie Ye
PY  - 2017/03
DA  - 2017/03
TI  - Constrained Optimization of Resource Allocation in Colleges
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 454
EP  - 456
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.86
DO  - 10.2991/mecae-17.2017.86
ID  - Ye2017/03
ER  -