Optimal Design of Deformation Monitorimg Networks Using Genetic Algorithm

Finding an optimal configuration is one the most important steps in the design and establishing a deformation monitoring network. The main goals of an optimal network design process include finding proper location of control stations (First Order Design) as well as proper weight of observations (Second Order Design) in a way that satisfy all the criteria considered for the quality of the network which itself is evaluated by the network’s accuracy, reliability (internal and external), sensitivity, and cost. There are different tools for optimization including genetic algorithm which have been successfully used for solving complicated optimization problems. This paper reviews the traditional optimization method of FOD for a deformation network and uses a genetic algorithm. Different components of genetic algorithm and the way it works are discussed. Through simulated example, the efficiency of the genetic algorithm in designing a deformation monitoring network is shown and compared with the traditional methods.