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.
risk management project management complexity resource constraints genetic algorithm
Chao FANG Franck MARLE Enrico ZIO
Laboratoire Genie Industriel Ecole Centrale Paris, Chatenay-Malabry, France Ecole Supérieure dElectricité (Supélec) Gif-sur-Yvette, France Laboratoire Genie Industriel Ecole Centrale Paris, Chatenay-Malabry, France Ecole Supérieure dElect
国际会议
西安
英文
910-915
2011-06-17(万方平台首次上网日期,不代表论文的发表时间)