OPTIMAL DESIGN OF DEFORMATION MONITORING NETWORKS USING PSO ALGORITHM

Abstract: Geodetic deformation monitoring networks has to be sufficient in terms of precision, reliability and strength, sensitivity and cost. Hence, before monumenting and gathering survey data, a geodetic network must be designated to meet some quality criteria. Mathematically, optimal design of a geodetic network implies minimizing or maximizing an cost function that denotes the quality of the network. Classically, a network can be optimized using the trial and error method or analytical methods such as linear programming, quadratic programming, or some optimization problems can be solved by generalized or iterative generalized inverses. Optimization problems may also be solved by intelligent optimization techniques such as genetic algorithms, simulated annealing and particle swarm optimization algorithm (PSO). In this paper, we dealt with optimization problem of geodetic networks. A GPS network was optimized by using PSO algorithm in the sense that it will satisfy good precision and low cost requirements. According to our results, PSO algorithm can be used as a tool for optimizing a geodetic network. 1