  In this paper, a new approach to solve the cubic B-spline curve fitting
problem is presented based on a meta-heuristic algorithm called " dolphin
echolocation ". The method minimizes the proximity error value of the selected
nodes that measured using the least squares method and the Euclidean distance
method of the new curve generated by the reverse engineering. The results of
the proposed method are compared with the genetic algorithm. As a result, this
new method seems to be successful.
