Development and Evaluation of a Self Adaptive Horse Optimization Algorithm (SA HA) for the Operation Management of the Reservoir

Authors

Department of Civil Engineering, University of Qom, Qom 3716146611, Iran

Abstract

Optimal water resources management under increasing climatic uncertainty requires robust optimization techniques capable of solving complex nonlinear problems. Nature-inspired metaheuristic algorithms have been widely applied due to their strong global search capability; however, many suffer from premature convergence and sensitivity to control parameters. To address these limitations, this study proposes a Self-Adaptive Horse Algorithm (SA-HA) that dynamically adjusts its control parameters during the optimization process, improving the balance between exploration and exploitation. The proposed algorithm is evaluated for the optimal operation of the Qaranqu Reservoir (East Azerbaijan Province, Iran), aiming to maximize water supply reliability while minimizing water shortages under operational constraints.

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References

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Journal of Civil and Environmental Engineering
Volume 56, Issue 123 - Serial Number 123
Summer 2026
September 2026
Pages 37-44

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