Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

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Hybrid Flow-Shop Scheduling Problem Based on Genetic Algorithm

Authors
Rong Zhang
Corresponding Author
Rong Zhang
Available Online May 2017.
DOI
10.2991/msmee-17.2017.308How to use a DOI?
Keywords
Job shop scheduling problem; Material flow; Genetic algorithm; Hybrid flow-shop scheduling problem
Abstract

In order to solve the job shop scheduling problem which includes disordered material flow and lopsided load of equipment, the thesis has done some research on how to apply in genetic algorithm on hybrid flow-shop scheduling problem. And the thesis also has illustrated the method of realization from a company of producing engine of automobile.

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 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.308How 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  - Rong Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Hybrid Flow-Shop Scheduling Problem Based on Genetic Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1703
EP  - 1706
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.308
DO  - 10.2991/msmee-17.2017.308
ID  - Zhang2017/05
ER  -