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Information Journal Paper

Title

OPTIMAL OPERATION OF MULTI-RESERVOIR SYSTEM USING SYMBIOTIC ORGANISMS SEARCH ALGORITHM (TECHNICAL NOTE)

Pages

  268-273

Abstract

 In recent decades, METAHEURISTIC ALGORITHMS have been applied successfully in various water resource engineering and management issues especially in OPTIMAL OPERATION of reservoirs. In this paper, a model has been developed based on Symbiotic Organisms Search (SOS) algorithm for modeling OPTIMAL OPERATION of complex multi-reservoirs systems. In the first step, the performance of the method was successfully assessed through several benchmark functions. Then SOS ALGORITHM was used to derive the OPTIMAL OPERATION of four- and ten-reservoir systems. The results of SOS were compared with other developed evolutionary algorithms including Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The results showed that for cases of four- and ten-reservoir systems the best solutions achieved by the SOS were 308·8114 and 1190·0227, respectively. The results revealed that the SOS ALGORITHM was the superior algorithm in OPTIMAL OPERATION of multi-reservoirs systems.

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    APA: Copy

    AKBARIFARD, S., SHARIFI, M., & RADMANESH, F.. (2018). OPTIMAL OPERATION OF MULTI-RESERVOIR SYSTEM USING SYMBIOTIC ORGANISMS SEARCH ALGORITHM (TECHNICAL NOTE). IRAN-WATER RESOURCES RESEARCH, 14(2 ), 268-273. SID. https://sid.ir/paper/100353/en

    Vancouver: Copy

    AKBARIFARD S., SHARIFI M., RADMANESH F.. OPTIMAL OPERATION OF MULTI-RESERVOIR SYSTEM USING SYMBIOTIC ORGANISMS SEARCH ALGORITHM (TECHNICAL NOTE). IRAN-WATER RESOURCES RESEARCH[Internet]. 2018;14(2 ):268-273. Available from: https://sid.ir/paper/100353/en

    IEEE: Copy

    S. AKBARIFARD, M. SHARIFI, and F. RADMANESH, “OPTIMAL OPERATION OF MULTI-RESERVOIR SYSTEM USING SYMBIOTIC ORGANISMS SEARCH ALGORITHM (TECHNICAL NOTE),” IRAN-WATER RESOURCES RESEARCH, vol. 14, no. 2 , pp. 268–273, 2018, [Online]. Available: https://sid.ir/paper/100353/en

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