This paper presents a dan-based evolutionary approach for solving cont
rol problems. Three selected control problems, viz. linear-quadratic,
harvest, and push-cart problems, are solved using the proposed approac
h. Results are compared with those of the evolutionary programming (EP
) approach. In most of the cases, the proposed approach is successful
in obtaining (near) optimal solutions for these selected problems.