Mathematical Programming: Series A and B
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Convergence properties of the cross-entropy method for discrete optimization
Operations Research Letters
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In this paper, we consider a portfolio optimization problem with a Value-at-Risk constraint. It is a nonconvex nonsmooth optimization problem which is very hard to solve. We propose an approach based on the Cross-Entropy (CE) method to tackle it. The numerical results show the efficiency of our approach.