Differential Evolution Optimization for Bezier Curve Fitting

In this study, we propose an alternative solution for Bezier curve fitting with Differential Evolution (DE) algorithm. DE algorithm is conducted by randomly generating the control points of the Bezier curve. These generated control points are used to calculate the Bezier curve point. The fitness function of DE algorithm is computed to search for the minimum error. From the experiments, we found that the results of our proposed method achieve the minimum error value significantly.