GA Based Stochastic Risk Programming for Virtual Enterprise

With the development of word economy and IT, virtual enterprise is considered as one of the most promising paradigms for future enterprises. As Virtual Enterprise´s agility and diversity of its members, which make its internal and external risk with great character of stochastic. The multi actions single choices model of risk programming is proposed in this paper, which combines with the probability measure risk evaluation method. It´s a stochastic programming model with stochastic variables. In this model the total risk of Virtual Enterprise and the total cost using to reduce the risk must be held with a confidence level alpha,beta, respectively. To solve the model, a genetic algorithm is designed, which combines with the Monte Carlo simulation. Finally, a numerical example is given to illustrate the effective of this algorithm.