This study investigates solar cell performance-quotient as a function of intrinsic semiconductor bandgap. The bandgap wields a strong influence on many other salient solar cell parameters such as diffusion constant, length of ion carrier diffusion, carrier lifetimes, ideality factor and by this forms the bedrock for all other photovoltaic parameters. Consequently, the perspective of this work is to employ three models, selected based on their relevance to this sphere, to analyze solar cell performance. The first process, Ray optimization algorithm (RO) was introduced but due to complexity factors, it was further modified to become Modified Ray Optimization (MRO) model. This accommodated peculiarity arising from the current-voltage (I-V) curve considered from Snell's law of refraction in a transparent object, such as a conducting glass. In the resulting compendium of networks, a second outlook, Co-ordinate estimate algorithm (CEA) was used to elicit the physical behavior of parameters embedded in the resultant I-V matrix using MATLAB operators in ORIGIN environment. In the third perspective, Time of arrival algorithm (TOA) was used in evaluating the closeness of the real event compared to the simulated outcomes. The roots of these three algorithms invoke an effective photo-degeneracy tool for unraveling a direct relationship with an I-V curve, which provides a benchmark for experimental data.