Considering the importance of water and computing the amount of rainfall runoff resulted from precipitation in recent decades, using appropriate methods for predicting the amount of runoff from rainfall date has been really essential. Rainfall-runoff models are used to estimate runoff generated from precipitation in the catchment area. Rainfall-runoff process is totally a non-linear phenomenon. In the present study, it has been tried to Model Ghatoor-Chai River rainfall-runoff, one of the studying sub-basins of Aras River with an area of 8544 square kilometers, by genetic programming and to analyze the results. In this study, the statistical data from Ghatoor-Chai’s daily rainfall-runoff, Marakan hydrometric station during the period 1386-1390 has been used. Data from events during the period 1386-1389 is used for training and data from 1390 for testing. In this modeling, 8 input models have been defined for the system. After applying input models in system, the results based on statistical measures of root-mean-square error and correlation coefficient were analyzed and evaluated. The findings show the success of genetic programming for rainfall-runoff process and this procedure can be suggested as a way for modeling this process. پرونده مقاله

The Emergency Medical Centers are very helpful since they reduce the number of death and injuries by getting to the scenes of accidents and dealing with the case immediately. As saving one's life is the prime goal in these centers, any findings and techniques which will improve the services and ease achieving the goal will be highly welcomed. The first and the major factor in giving this kind of service is the time. The place where these centers are located can play an important role to reduce the time so as to offer the service right away and on time. Hence, finding the best places in a big city or cities to set up these centers to be able to give the services urgently will have a crucial importance. The method offered in this paper is to give the service qualitatively while we reduce the number of ambulances. Artificial bee colony (ABC) algorithm is an extended algorithm based on the bees' vigilant behavior that they search for food. This paper uses The ABC algorithm to solve the problem of positioning. The findings and the correlative coefficient of the study show that this Algorithm can be helpful especially in larger cities where it is difficult to locate a proper position to offer the service in an expected time. پرونده مقاله