chance-constrained programming

The model uses a chance-constrained programming algorithm to yield the control trajectory (releases) closest to the optimum.

The technique, which uses chance-constrained programming, is applied to a water quality management problem wherein concern is with the interaction between biochemical oxygen demand (BOD) and the dissolved oxygen (DO) concentration in a river.