Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Research on Model of Project Synthetically Management Based on Genetic Algorithm

Authors
Xinghua Dang1, Lei Wang
1Dean of the school of business administration, Xi’an university of technology,
Corresponding Author
Xinghua Dang
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.86How to use a DOI?
Keywords
Project Management; Genetic Algorithm; Multiattribute utility Function
Abstract

The multiattribute utility function was used to build a model of project’s time, quality and cost synthetically management under resource restriction in this paper, and then introduced the genetic algorithm to solve the model. Finally, advanced an example, and gave an alternative scheme of synthetically optimizing and managing time, quality and cost of projects in practice. The example of XiHe hydropower was given to show the reasonableness and effectiveness of the proposed method.

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.86How to use a DOI?
Copyright
© 2007, 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  - Xinghua Dang
AU  - Lei Wang
PY  - 2007/10
DA  - 2007/10
TI  - Research on Model of Project Synthetically Management Based on Genetic Algorithm
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 508
EP  - 514
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.86
DO  - https://doi.org/10.2991/iske.2007.86
ID  - Dang2007/10
ER  -