Researchers have been exploring various optimization algorithms for maximum power point tracking in photovoltaic systems under partial shading conditions. Different methods, including zebra, grey wolf, and other animal-inspired optimizations, as well as machine learning approaches, are being investigated for their effectiveness. The outcomes of these experiments are being reported, with multiple novel algorithms being proposed and validated.