Optimization of Water Resources Systems in Real Time based on the Integration of Multi-objective Grey Wolf Algorithm and Artificial intelligence

In this paper, the multi-objective gray wolf optimization algorithm is utilized for the optimal operation of the Doiraj dam reservoir. In this regard, the reservoir operation modeling is done based on the current situation of the region and for a 720-month period (October 1960 to September 2019) and the role curve of the dam or the amount of release from the reservoir to provide downstream uses is optimized in these conditions. a new method based on the integration of artificial intelligence and the MOGWO algorithm is developed for the optimal operation of the system in real time. The findings indicate that the average error value of optimal rules extracted from the ORELM model is less than 6% in the verification stage showing the efficiency of this method in predicting the optimal pattern of the dam role curve in real time. In this structure, the developed hybrid MOGWO-ANN model has this ability to provide optimal operation policies regarding new data of inflow to the dam to allow us to manage the system optimally in real time.