 The artificial hummingbird technique, AHT, was developed to optimize the parameters of photovoltaic PV systems. This technique mimics the behavior of hummingbirds when they search for food in nature. It was found to be superior to other optimization algorithms such as tuna swarm optimizer, African vulture optimizer, teaching learning, studying based optimizer, and others. The AHT was tested on three different types of PV modules, STM6-40 36, KC200 GT, and PWP201. The results showed that the AHT outperformed all other algorithms in terms of accuracy and speed. This article was authored by Raygab El-Sihimi, Abdullah Shaheen, Tia El-Fergini, and others.