ant colony optimization algorithm

Rainfall-runoff simulation models can be used in many water resources applications such as flood control, drought management. Although modeling is both continuous and single-event, continuous modeling has been less important in our country. In continuous models, more hydrological parameters are involved in comparison with single-event models, although this leads to more complicated modeling, but instead of a more realistic conditions of the hydrological system of the watershed will be illustrated and, in continuous systems, the surface water status can be monitored over a long period of time. Single-event models simulate only one incident, hence the moisture content between rainfall events is not considered, in contrast to continuous models of longer periods for estimating the response of the hydrologic information of the basin considered throughout the length of the rainfall events and between them (Lastoria, 2008). The American Hydrological Engineers Center (HEC), along with continuous hydrologic modeling, added the Soil Moisture Accounting (SMA) soil moisture content algorithm based on the PRMS model to the HMS software (Bennett, 1998). In this research, the aim is to provide an automatic calibration model based on the anion colony for the HMS-SMA soil moisture model. In this continuous model, the multiplicity of the considered parameters of the model, in addition to causing the difficulty of calibration by the method of trial and error, which also allows the automatic calibration of the software package to fail. For this purpose, in this research, by selecting a continuous HMS-SMA rainfall-runoff model, an external optimization program (Anion Cluster Algorithm (ACOR)) was used to overcome the weakness.

In recent years، the Determination of Crop pattern with purpose the use of Optimum Available resources was considerded by Researchers and governments in order to Increasing the farmers'' incoming. According to the Water Crisis، Factors of production Specially water as the most limitative factor in agriculture should be use Systematic and careful planning. In this study we determine the optimized crop pattern of Golestan dam irrigation and drainage network for maximizing the incoming of formers using of MMAS (maximum- minimum ant system). The Result show that the current cropping pattern is not optimize and with applying out suggested crop pattern، benefit per hectar land of plant would be increased especially in fall and summer cropping. Also the model result showed that in fall cropping because of some rainy days، some allocation of water need of crop would be supplied، And it may be saved up to 75 percent in water consumption with application Suggested cropping pattern that would be around 24. 5 MCM water. In case of Storage The Significant volume of water You can cultivate the More land in summer.