Yes, if the objective function is convex. You can represent the feasible set as a convex combination of the vertices, i.e., if V is a matrix where each column corresponds to a vertex, then your problem can be expressed as follows:
minimize f(x)
subject to x = V*y, sum(y) == 1, y>=0