A simple gradient method for optimal parameter selection in dynamic optimization problems is presented. The method is based on the direct application of the calculus of variations for the considered class of problems. Such an approach results in a relatively small numerical complexity of the suggested algorithm. Practical experience is reported and the obtained results confirm applicability of the method not only to the solution of parameter optimization problems, but also its usefulness when solving parameter identification or two-point boundary-value problems.