Enhanced Hippopotamus Optimization Algorithm for Tuning Proportional-Integral-Derivative Controllers

In control engineering, effectively tuning the parameters of proportional-integral-derivative (PID) controllers has long been a persistent challenge. Traditional tuning methods and existing intelligent algorithms often face issues such as slow convergence, susceptibility to local optima, and insufficient optimization accuracy, which limit their performance in complex control systems.