Optimal Operation Of Multi-Reservoir System Using Symbiotic Organisms Search Algorithm

Document Type : Technical Note (5 pages)

Authors

Department of Hydrology and Water Resources, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Iran.

Abstract

In recent decades, Metaheuristic algorithms have been applied successfully in various water resource engineering and management issue especially in optimal operation of reservoirs. In this paper, a model based on Symbiotic Organisms Search (SOS) algorithm has been developed 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 then 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.
Keywords: Symbiotic Organisms Search (SOS) Algorithm, Optimal Operation, Metaheuristic Algorithms, Multi-Reservoirs System.

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References

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Iran-Water Resources Research
Volume 14, Issue 2
May 2018
Pages 269-273

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History

  • Receive Date: 24 February 2017
  • Revise Date: 28 October 2017
  • Accept Date: 28 February 2017

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