Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

Optimizing Service Selection Using Hybrid Multi-objective Genetic Algorithms

Authors
Bo Li, Changsheng Zhang, Baoxing Bai
Corresponding Author
Bo Li
Available Online November 2015.
DOI
https://doi.org/10.2991/icmmita-15.2015.26How to use a DOI?
Keywords
List the keywords covered in your paper. These keywords will also be used by the publisher to produce a keyword index. Optimizing Service Selection; Hybrid Multi-objective; Genetic Algorithms.
Abstract

Developments in web services lead increasing numbers of enterprises to focus themselves on core business by outsourcing parts of service flows. As an important measure of the web service, quality of service (QoS), determines the success of the combined services to some extent, highlighting the need for service users and providers to reach an agreement on QoS of web services. This agreement is known as a Service-Level Agreement (SLA).A particular task may be performed by many services with the same functions but different QoS values.A method for automatically selecting the services is thus needed.

Copyright
© 2015, 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 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-120-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-15.2015.26How to use a DOI?
Copyright
© 2015, 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  - Bo Li
AU  - Changsheng Zhang
AU  - Baoxing Bai
PY  - 2015/11
DA  - 2015/11
TI  - Optimizing Service Selection Using Hybrid Multi-objective Genetic Algorithms
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 116
EP  - 122
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.26
DO  - https://doi.org/10.2991/icmmita-15.2015.26
ID  - Li2015/11
ER  -