Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Workload Balancing in Parallel Machines based on Semi-matching Theory

Authors
Yong Zhan
Corresponding Author
Yong Zhan
Available Online November 2016.
DOI
https://doi.org/10.2991/icmia-16.2016.145How to use a DOI?
Keywords
Parallel machine, Machine eligibility restrictions, Semi-matching, Load balancing.
Abstract

This paper addresses the problem of scheduling jobs on parallel machines with machine eligibility restrictions so as to balance the workload among machines. A weighted bipartite graph model G=[J M,E,W] is used to formulate the studied problem. We propose a two-phase algorithm to find the optimal solution. In phase 1,the initial solution construction algorithm is used to build an initial solution, followed by an improvement algorithm to improve the initial solution to optimal one in phase 2. Computational results are presented for a set of randomly generated instances.

Copyright
© 2016, 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 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-256-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmia-16.2016.145How to use a DOI?
Copyright
© 2016, 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  - Yong Zhan
PY  - 2016/11
DA  - 2016/11
TI  - Workload Balancing in Parallel Machines based on Semi-matching Theory
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.145
DO  - https://doi.org/10.2991/icmia-16.2016.145
ID  - Zhan2016/11
ER  -