What is Probabilistic Constrained Programming

The term probabilistic constrained programming means the same as chance constrained programming, i.e., optimization of a function subject to certain conditions where at least one is formulated so that a condition, involving random variables, should hold with a prescribed probability. The probability is usually not prescribed exactly but a lower bound is given instead which is in practice near certainty (nearly equal to 1). ( Andras Prekopa (1970) AU19: The in-text citation "Andras Prekopa (1970)" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. . On probabilistic constrained programming. Proceedings of the Princeton Symposium on Mathematical Programming. Princeton University Press, Princeton, NJ 1970 AU20: The in-text citation "University Press, Princeton, NJ 1970" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. . pp. 113-138.)

Stochastic Logistics Network Design with Deadlines

Gang Wang (Kean University, USA)