Electricity generation using photovoltaic (PV) technology has become highly popular in recent times. However, natural barriers such as trees, buildings, bird drops, etc., cause partial shading (PS) on the PV surface resulting in high power losses. Bypass diodes used to mitigate the PS effect cause multiple peaks in the PV power delivery. The tracking of the optimal power peak can be considered as an optimization problem with unknown range and domain of origin, due to different insolation conditions. All optimization strategies applied in previous works spanning from traditional optimization techniques to Machine Learning and the recently proposed Natrure-inspired algorithms led to either sub-optimal maximum power or required extensive computations. In this work, an algorithm that combines the advantages of the previous works and avoid their loopholes, is proposed. Experimental results indicate the superiority of the proposed algorithm over the state of the art algorithm for the Maximum Power Peak Tracking problem.