Research on multi-stage and multi-object money laundering network path algorithm and the anti-money laundering strategies

ZHANG Yan, XUE Yaowen

Systems Engineering - Theory & Practice ›› 2017, Vol. 37 ›› Issue (8) : 1992-2003.

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Systems Engineering - Theory & Practice ›› 2017, Vol. 37 ›› Issue (8) : 1992-2003. DOI: 10.12011/1000-6788(2017)08-1992-12

Research on multi-stage and multi-object money laundering network path algorithm and the anti-money laundering strategies

  • ZHANG Yan1, XUE Yaowen2
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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.

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money laundering / multi-stage / multi-object / model / dynamic programming arithmetic

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ZHANG Yan , XUE Yaowen. Research on multi-stage and multi-object money laundering network path algorithm and the anti-money laundering strategies. Systems Engineering - Theory & Practice, 2017, 37(8): 1992-2003 https://doi.org/10.12011/1000-6788(2017)08-1992-12

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Funding

National Natural Science Foundation of China (71273159)
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