Nowadays, it has been a developing consideration towards utilization of photovoltaic (PV) system. This paper proposes an intelligent control method using Adaptive Neuro-Fuzzy Inference System (ANFIS) and an integrated offline Genetic Algorithm (GA) for maximum power point tracking (MPPT). The method is verified under different irradiance and temperature conditions due to the climate changes. Training data in ANFIS are optimized by GA using Matlab/gatool software. DC - DC boost converter is used between the PV module and the load. Duty cycle of the converter is controlled by ANFIS in order to obtain the MPPT. The proposed system is developed, simulated and studied by Matlab/Simulink software. The results show minimal error of Maximum Power Point (MPP), Optimal Voltage (Vmpp) and superior capability of the suggested method in MPP tracking reaches 100% compared to any other methods.