An integrated framework for the optimization of project risk response plan under resource constraints with genetic algorithm

In this paper we present an original framework for optimizing project risk response plan. The simulation technique is used to model the project risk network and to test the proposed mitigation actions. A genetic algorithm-based model is developed, aimed at choosing response actions and optimizing the allocation of budget reserves dedicated to the risk management. An example of application to a real transportation construction project is presented.