ASM and Evolutionary Algorithm for Economic Optimization of Project Risk Management

摘要

This paper contains an optimization of project risk management efforts, based on an evolutionary algorithm. It uses the mathematical model of the project risk management made by Ben-David, Rabinowitz and Raz in [2]. An abstract state machine, inspired by [5], is build to design the economic optimization. The risk abatement actions selection is a complex problem, so we consider the evolutionary algorithm the most adequate to solve it, especially in the case of big projects. A numerical example illustrates the efficiency of the algorithm.