The School of Information and Electrical Engineering, a China-based research institution in photovoltaic systems, has developed an improved Maximum Power Point Tracking (MPPT) method using the Improved Reptile Search Algorithm with Mapping Enhancement (IRIME). This method integrates logistic mapping and piecewise parameter tuning to enhance tracking speed and accuracy. An adaptive inertia weight is used to balance global and local search under variable irradiance and partial shading. According to the School, IRIME reduced tracking time by 0.085 seconds over Particle Swarm Optimization-based MPPT (PSO-MPPT) and 0.425 seconds over Reptile Search Algorithm-based MPPT (RIME-MPPT). It also increased output power by 0.97% over PSO-MPPT and 3.48% over RIME-MPPT. The researchers stated that IRIME consistently achieved fast convergence and stable performance in PV simulations with fluctuating environmental conditions.