ABSTRACT
The purpose of this study was to compare the performance of two methods for gravity inversion of a fault. First method [Particle swarm optimization (PSO)]is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. Second method [The Cuckoo Optimization(COA)] is new evolutionary optimization algorithm which is inspired by lifestyle of a bird family called cuckoo. In this paper first we discussed the gravity field of a fault ,then describes the algorithms of PSO and COA And presents application of Cuckoo Optimization algorithm, and a particle swarm algorithm in solving inverse problem of a fault. Most importantly the parameters for the algorithms are given for the individual tests. Inverse solution reveals that fault model parameters are agree quite well with the known results. A more agreement has been found between the predicted model anomaly and the observed gravity anomaly in COA Method rather than PSO method.