Stochastic optimization techniques that are used in determining reservoir operation are presented. An alternate stochastic optimization technique is then described and suggested as an improvement. Feasible use of the alternate is possible since observations on planning horizons are employed in computation reduction. For a simple reservoir system, the techniques are applied and compared. Computation costs were reduced and system performance was improved with the use of the alternate.