بهینه‌سازی بهره‌برداری از منابع آب سدها با یک الگوریتم فراابتکاری چندهدفه جدید

Optimum exploitation of water systems is usually considered part of optimization problems with large and complex dimensions due to the large number of decision variables caused by the multiplicity of influential factors. In this article, MOAHA's new multi-objective artificial hummingbird algorithm was used to optimize the operation of a five-reservoir system including Karun 4, Karun 3, Karun 1, Masjid Suleiman and Gatunde Alia dams located in the Karun river basin. The objectives of the optimization model included electric energy production, supply of downstream needs (drinking, agriculture, industry and environmental) and flood control. In order to check the efficiency of the used algorithm, four evaluation indices of reliability, reversibility, vulnerability and stability were used. The results showed that the MOAHA algorithm had a good performance with OF1=188.73, OF2=610.83, OF3=642.15 and the minimum total of 1441.71. Also, this algorithm proved its high capability by producing energy of 17166.47 GW compared to the actual operating conditions with energy production of 11294.84 GW per year during the period of 180 months. In addition, the findings of this research showed that the average sustainibility index of the MOAHA algorithm in the system of the Karun basin was 88.79, which indicates its acceptable performance. The results show the high capability of the MOAHA algorithm in the Karun multi-objective large-scale problem with 1800 dimensions. Therefore, it is recommended to use the proposed algorithm in hydrology and water resources optimization problems, especially in multi-reservoir multi-objective systems.