| Distributed risk management model and algorithm for virtual enterprise with private information |
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ACM/SIGEVO Summit on Genetic and Evolutionary Computation
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Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
table of contents
Shanghai, China
POSTER SESSION: Poster sessions
table of contents
Pages: 965-968
Year of Publication: 2009
ISBN:978-1-60558-326-6
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Authors
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Xianli Sun
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Northeastern University, Shenyang, China
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Min Huang
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Northeastern University, Shenyang, China
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Xingwei Wang
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Northeastern University, Shenyang, China
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Fuqiang Lu
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Northeastern University, Shenyang, China
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ABSTRACT
For the desired profit and anticipated goal, the virtual enterprise (VE) must avoid the risk successfully. In view of its characteristics, such as the diversity of partners and distribution of cooperative regions, the idea of distributed decision-making (DDM) is applied to the management of the virtual enterprise' risks, with a Organizational-DDM risk management model developed for those virtual enterprises which are in relation to enforced team and with private information. A taboo search algorithm is designed to solve the model. The computation results of simulative examples show the effectiveness and feasibility of the model and algorithm.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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