The Proposal of an Optimization Method for Detection of the stable points in Controlling Networks

In order to compute the displacements in micro-geodesy networks, detecting stable and unstable points is highly momentous, because if they were not detected, there would be datum fault in the network. The most common methods for evaluation of the stability of points are: a) global congruency test, b) minimization of the displacement vector’s L1 norm. In the present article, fifty networks are evaluated using these techniques. Nowadays a variety of institutes and companies in Iran are responsible for computing massive constructions, predominantly dams; and also supervising the projects which are done. The introduction of a scientific solution based on numerical facts can be an effective way to put an end to some of the ongoing problems in the industry of this country. The purpose of the present study is comparing the two aforementioned methods and referring to some of their advantages and disadvantages which have been taken into account in the following parts. The results of this research indicate that L1 minimization method has been used to determine stable and unstable points which are more efficient. After all it is better to use both methods and the average of two results be taken as the stable point, because it is more close to certainty.