Metaheuristics are highly efficient optimization methods that are widely used today. However, the performance of one method cannot be generalized and must be examined in each class of problems. The hybrid algorithm of particle swarm optimization and grey wolf optimizer (HPSOGWO) is new swarm-based metaheuristic with several advantages, such as simple implementation and low memory consumption. This study uses HPSOGWO for reservoir operation optimization. Real-coded genetic algorithm (RGA) and gravitational search algorithm (GSA) have been used as efficient methods in reservoir optimization management for comparative analysis between algorithms through two case studies. In the first case study, four benchmark functions were minimized, in which results revealed that HPSOGWO was more competitive compared with other algorithms and can produce high-quality solutions. The second case study involved minimizing the deficit between downstream demand and release from the Hammam Boughrara reservoir located in Northwest Algeria. A constrained optimization model with non-linear objective function was applied. Based on the average solutions, HPSOGWO performed better compared with RGA and was highly competitive with GSA. In addition, the reliability, resiliency, and vulnerability indices of the reservoir operation, which was derived from the three algorithms, were nearly similar to one another, which justified the usability of HPSOGWO in this field.

元启发法是当今广泛使用的高效优化方法。但是，一种方法的性能不能一概而论，必须在每一类问题中进行检查。粒子群优化算法与灰狼优化器的混合算法（HPSOGWO）是一种新的基于群的元启发式算法，具有实现简单，内存消耗低等优点。本研究使用HPSOGWO进行油藏运行优化。通过两个案例研究，实数编码遗传算法（RGA）和重力搜索算法（GSA）已被用作储层优化管理中的有效方法，以进行算法之间的比较分析。在第一个案例研究中，四个基准功能被最小化，结果表明，HPSOGWO与其他算法相比更具竞争力，并且可以提供高质量的解决方案。第二个案例研究涉及最小化下游需求与位于阿尔及利亚西北部的Hammam Boughrara水库的排放之间的赤字。应用了具有非线性目标函数的约束优化模型。基于平均解决方案，HPSOGWO与RGA相比表现更好，并且与GSA竞争激烈。此外，从这三种算法得出的油藏运行的可靠性，弹性和脆弱性指标彼此几乎相似，这证明了HPSOGWO在该领域的可用性。第二个案例研究涉及最小化下游需求与位于阿尔及利亚西北部的Hammam Boughrara水库的排放之间的赤字。应用了具有非线性目标函数的约束优化模型。基于平均解决方案，HPSOGWO与RGA相比表现更好，并且与GSA竞争激烈。此外，从这三种算法得出的油藏运行的可靠性，弹性和脆弱性指标彼此几乎相似，这证明了HPSOGWO在该领域的可用性。第二个案例研究涉及最小化下游需求与位于阿尔及利亚西北部的Hammam Boughrara水库的排放之间的赤字。应用了具有非线性目标函数的约束优化模型。基于平均解决方案，HPSOGWO与RGA相比表现更好，并且与GSA竞争激烈。此外，从这三种算法得出的油藏运行的可靠性，弹性和脆弱性指标彼此几乎相似，这证明了HPSOGWO在该领域的可用性。