This paper introduces a novel Maximum Power Point Tracking (MPPT) controller for photovoltaic (PV) systems that leverages the strengths of both metaheuristic and heuristic methods. Classical MPPT algorithms like Incremental Conductance (IC) and Perturb and Observe ((P&O)) are widely used but often struggle with instability, oscillations near the steady state, and slow convergence, particularly under fluctuating climatic conditions such as static partial shading condition. To address these challenges, we propose an hybrid MPPT approach combining the War Strategy Optimization (WSO) algorithm with the Incremental Conductance method (IC), termed WSO-IC. The performance of the WSO-IC al-gorithm is rigorously compared against traditional IC, (P&O), and standalone WSO techniques. Simulation results validate that the WSO-IC ap-proach offers superior MPP tracking with faster convergence and high efficiency. The obtained results conducted in SIMULINK demonstrate that the proposed method can achieve efficiencies exceeding 99%, even under static partial shading conditions.