Optimization of Karaj Dam reservoir using modern ant Colony algorithm

Document Type : Original Article

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Abstract

The ant colony algorithm is inspired by studies and observations on ant colonies. Since ants' colony optimization methods are able to significantly reduce computational time and at the same time improve results, the present study aims to determine the optimal utilization of water engineering issues. , Karaj Dam reservoir was used to study and implement this algorithm. This study was conducted with the aim of optimizing water reservoirs, by case study of Karaj Dam by the ant colony optimization algorithm. Meteorology was prepared by the Meteorological Organization and the Regional Water Organization of Alborz Province for a period of 5 years from 2010 to 2015. After correcting and reconstructing the data, an algorithm was proposed to optimize the Karaj Dam reservoir. This process was then implemented and tested by MATLAB software. The results showed that the use of modern ant colony optimization algorithm in solving dam optimization problems showed good results, which was consistent with the results of genetic algorithm methods and dynamic programming. And sometimes it looks better than them. However, in order to obtain optimal solutions, the solution process should be tested in different phases of problem solving and using the best conditions compared to other ants optimization approaches, the appropriate solution system should be selected to answer Get the right ones

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