论文研究-多阶段多目标洗钱网络路径算法研究及反洗钱应对策略.pdf
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37
8
Vol.37, No.8
2017
8
Systems Engineering — Theory & Practice Aug., 2017
doi: 10.12011/1000-6788(2017)08-1992-12
: F830.3
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Research on multi-stage and multi-object money laundering
network path algorithm and the anti-money laundering strategies
ZHANG Yan
1
, XUE Yaowen
2
(1. School of Mathematics and Computer Science, Shanxi Normal University, Linfen 041000, China; 2. School of Economics
and Management, Shanxi Normal Universit y, Linfen 041000, China)
Abstract In view of the path optimization problem of multi-stage illegal money transfers, based on
the idea of multi-objective optimization, this paper constructed a multi-stage network path optimization
model of money laundering with money laundering maximization, risk minimization and the amount of
time to be shortest as decision-making targets. The expected utility theory was used to research the risk
preference of illegal civil servants, and to analyze the five different choices of illegal civil servants under the
different time pressure. In addition, each target selection based on this model was put forward by using
the theory of multiple dynamic programming and maximum flow, and its feasibility of the algorithm was
validated by application instance. Finally, some measure and suggestions to prevent illegal civil servants
from money laundering crime were proposed from the naked official flight, big deals, money laundering
crime psychological process to transaction time.
Keywords money laundering; multi-stage; multi-object; model; dynamic programming arithmetic
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: 2017-01-09
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(1989–),
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, E-mail: zyan0816@163.com;
(1965–),
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, E-mail: xueyaowen@sina.com.
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(71273159)
Foundation item: National Natural Science Foundation of China (71273159)
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[J].
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, 2017, 37(8):
1992–2003.
: Zhang Y, Xue Y W. Research on multi-stage and multi-object money laundering network path algorithm and
the ant i-money laundering strategies[J]. Systems Engineering — Theory & Practice, 2017, 37(8): 1992–2003.
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