Automatic Knot Adjustment Using Dolphin Echolocation Algorithm for B-Spline Curve Approximation

TL;DR

This paper introduces a novel dolphin echolocation algorithm for automatic knot adjustment in B-spline curve approximation, demonstrating improved fitting accuracy over genetic algorithms through proximity error minimization.

Contribution

The paper presents a new meta-heuristic approach using dolphin echolocation for knot adjustment in B-spline curve fitting, outperforming genetic algorithms.

Findings

The dolphin echolocation algorithm effectively minimizes proximity errors.

The method achieves better curve approximation accuracy.

Comparison shows improved results over genetic algorithms.

Abstract

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.