Publications by authors named "Adedayo Farayola"
Article Synopsis
- Optimization algorithms help solve real-world problems by minimizing or maximizing variables, crucial for improving photovoltaic (PV) systems’ efficiency.
- Many existing algorithms struggle under changing conditions, often getting stuck at local maxima instead of finding the global maximum power point (GMPPT), leading to energy losses.
- The paper introduces an Improved Jellyfish Search Optimization (IJSO) algorithm that combines features from the Jellyfish Search Optimization and cuckoo search to enhance exploration and exploitation, showing promising results in experiments focusing on energy extraction and parameter optimization in PV systems.
