Archeological sites are a valuable source of information about our past.
This work attempts to identify the attributes or features of the landscape where archeological sites have been found, and use them to predict the probability of finding archeological information at a given location. Slope, aspect and elevation of the terrain are used as the basic features from which other features are extracted mathematically. To select the features that are relevant to existence or nonexistence of archeogical information a stochastic optimization methods of genetic algorithms and simulated annealing re utilized. These methods searches the space of various feature subsets to find the optimum subset of features, where the evaluation of the quality of a feature subset is provided by a nearest-neighbor classifier. Results indicate that the locations of archeological sites can be predicted with a reasonable degree of accuracy by this method.