Optimization of Multi-Reservoir System Operation Using Symbiotic Organisms Search Algorithm Based on the Fitness-Distance-Balance

In recent decades, metaheuristic algorithms have been successfully applied in various aspects of water resource engineering and management issues, especially in reservoirs' optimal operation. In this paper, a new method based on Symbiotic Organisms Search using the Fitness-Distance-Balance (FDB-SOS) algorithm has been developed for modeling optimal operation of complex multi reservoir system Baft, Safarood, and Jiroft reservoirs of Halilrood basin situated at latitude 56◦51ʹ-61◦30ʹ N and longitude 26◦18ʹ-29◦30ʹ E. The system consists of 3 different agricultural irrigation demands allocation with environmental prioritize in the long-term (from 2000 to 2019) approach. The developed model was used to solve the complex multi-reservoir system operating Halilrood basin. The new FDB-SOS algorithm results were compared with other developed evolutionary algorithms, including Harmony Search Algorithm (HS) and Imperialist competitive algorithm (ICA). Results showed the new FDB-SOS algorithm’s sustainability index was obtained 87.23, 74.34, and 96.03 percent of downstream demands for Baft, Safarood, and Jiroft reservoirs. The finding revealed that the new FDB-SOS algorithm was the superior algorithm in optimal operation of the multi-reservoir system.