ASM and genetic algorithm for risk abatement actions selection
Part of : WSEAS transactions on business and economics ; Vol.5, No.6, 2008, pages 320-329
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320-329
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Abstract:
The risk abatement actions selection is a complex problem, so we consider the genetic algorithm themost adequate to solve it, especially in the case of big projects. This paper contains an optimization of projectrisk management efforts, based on an evolutionary algorithm. It uses the mathematical model of the project riskmanagement made by Ben-David, Rabinowitz and Raz in [3]. An abstract state machine (ASM), inspired by [8],is build to design the economic optimization. A numerical example illustrates the efficiency of the algorithm.
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Keywords:
genetic algorithm, ASM, project risk management
Notes:
Περιέχει γραφήματα, πίνακες και βιβλιογραφία
