%0 Journal Article
%T Application of Met heuristic Algorithm of Ant Colony Optimization in Optimal Allocation of Water Resources of Chah-Nime of Sistan under Managerial Scenarios
%J Iranian journal of Ecohydrology
%I Faculty of New Sciences and Technologies, University of Tehran
%Z 2423-6098
%A Shahraki, Javad
%A Sardar Shahraki, Ali
%A Nouri, Safiyeh
%D 2018
%\ 12/22/2018
%V 5
%N 4
%P 1063-1078
%! Application of Met heuristic Algorithm of Ant Colony Optimization in Optimal Allocation of Water Resources of Chah-Nime of Sistan under Managerial Scenarios
%K Optimization
%K Ant-Meta-Heuristic Algorithms
%K Management Scenarios
%K Chah-Nime Reservoirs
%K Sistan
%R 10.22059/ije.2017.244397.764
%X The aim of this study is to optimize the allocation of water resources in Chah-nimeh Sistan reservoirs under three management scenarios using the metamorphic techniques of the Ant Community. The results of the research show that the best value of the objective function (maximizing water supply) was 5.82 million cubic meters using the algorithm. Also, in the early years, the optimum release rate of ant anchor algorithm 21 and the demand was 3.98 million cubic meters that there were 3.77 million cubic meters of lack of supply. The function of Ant's algorithm is closer to the optimal objective function in the second pipeline scenario for drinking water in Zahedan. According to the final results, the average values of the objective function were 100.0593 in the scenario of fixing the microspheres, hence, the release from agricultural sector, after a while, would not be possible. The results of development scenario of area under cultivation based on Horizon 1404 indicate that demand was low at the beginning of the period and it gradually increased with agricultural development in the region. Therefore, it has been suggested that it will be possible to overcome the recent difficulties and droughts with the extension of Iran's right of Afghanistan
%U https://ije.ut.ac.ir/article_68194_8d54302399bfb76a6076beafa65549f6.pdf