Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

Multiprocessor Scheduling Problem by Wading across Stream Algorithm

Authors
Shang Gao, Yong Liu
Corresponding Author
Shang Gao
Available Online March 2017.
DOI
10.2991/emcs-17.2017.378How to use a DOI?
Keywords
Random optimization algorithm; Multiprocessor Scheduling problem; Wading across stream algorithm
Abstract

The Wading across Stream Algorithm (WSA) act a solution as a start point, then search several solutions randomly near the start point, and find the best solution of these solutions. This best solution is to take as next start point, and then search several solutions randomly near this start point, and so on.. For solving the Multiprocessor Scheduling problem, two methods to selected the initial solution as start solution were given. In order to search neighborhood trial solution, four strategies are put forward.. It is proved that Wading across Stream Algorithm is a simple and effective algorithm.

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 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
Series
Advances in Computer Science Research
Publication Date
March 2017
ISBN
10.2991/emcs-17.2017.378
ISSN
2352-538X
DOI
10.2991/emcs-17.2017.378How 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

TY  - CONF
AU  - Shang Gao
AU  - Yong Liu
PY  - 2017/03
DA  - 2017/03
TI  - Multiprocessor Scheduling Problem by Wading across Stream Algorithm
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 2009
EP  - 2014
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.378
DO  - 10.2991/emcs-17.2017.378
ID  - Gao2017/03
ER  -