Inversion of Gravity Data Using Ant Colony Algorithm (Case Study: Gotvand-Iran)

Currently، in the field of optimization، ant colony algorithm has been implemented successfully on a wide variety of optimization problems. This algorithm is inspired by the real life of ants to find the shortest path from nest to food. This behavior of ants is closely similar to the inverse problems in geophysics which try to find the best solution for the unknowns in observation model. Therefore، this idea is applied for solving linear inverse problems. The aim of this article، is inversion of the gravity data in a linear form، it means that with constant geometric parameters، the physical parameters to be modeled. For examine the performance of this algorithm، firstly the algorithm has been tested on artificial complex T and L model. This method is applied for artificial models with and without noise. Outcomes show that for inversion by the use of ant colony algorithm، there is no need to separation of interferential anomaly and it is possible to use it for a combination of density contrast. Finally، the propose method for the measurement of regional gravity data Gotvand Dam is located in the province have been used. The results of the inverse of the data، and large diameter holes with depth in the region. As a result of dam construction in the study area، according to the regional geological information would cause serious environmental problems.