Accurate localization of sources in real radio channels is crucial for various applications ranging from military and civilian domains, notably in security, radar, and sonar systems. This paper presents a novel approach for source localization utilizing the Time Difference of Arrival (TDOA) method in a real radio channel environment. The localization problem is formulated as an optimization task, where the objective is to determine the optimal source location based on TDOA measurements obtained from multiple receivers with known positions, with the objective function derived using the least squares (LS) method. To address the complexity of the optimization problem, a hybrid approach that combines the Differential Evolution (DE) algorithm with conventional Nelder-Mead optimization algorithm has been proposed. The performance of the proposed hybrid algorithm is extensively evaluated and compared with traditional methods using numerical simulations. Results demonstrate the efficacy of the proposed approach in achieving superior localization accuracy in real radio channels, highlighting its potential for practical deployment in diverse applications.