TY - Jour A2 - Seyed Kolbadi，Seyed Mahdi Au - Donyaii，Alireza Au - Sarraf，Amirpouya Au - Au - Au - Ahmadi，Hassan Py - 2020 da - 2020/12/02 Ti - 一种基于杂交水库需求的新方法鲸井优化算法SP - 8833866 VL - 2020 AB - 管理水资源需要坝储层的最佳运行。To satisfy the downstream water demand in the operational optimization of Boostan dam reservoir, the improved whale optimization algorithm (IWOA) performance was compared in the present study with that of its constituents (i.e., the whale optimization and differential evolution) based on GAMS nonlinear programming results. The model evaluative indicators and an objective function were used to select the optimal algorithm. The findings suggested that IWOA resulted in the lowest computational duration and fastest convergence rate compared to the other algorithms. Additionally, the average water demand and discharge volume of IWOA were 3.21 × 10^6. m^3.和3.03×10^6. m^3.， 分别。相反，其他算法产生较低的水释放体积。IWOA通过将变化系数降低78％，以优化目标函数将变化系数提高21.7％。因此，与其他算法相比，IWOA更有效地满足水需求。此外，IWOA导致较低的误差。混合算法的性能在所有评估指标方面都增加。使用TOPSIS和Shannon Entropy开发多轨道决策模型还建议IWOA擅长优化储层运营问题的其他算法。SN - 1070-9622 UR - https://doi.org/10.1155/2020/8833866 Do - 10.1155 / 2020/8833866 JF - 震动和振动PB - Hindawi KW - ER -