Test functions for optimization are mathematical functions specifically designed to evaluate and benchmark optimization algorithms and techniques. These functions generally have well-defined characteristics, allowing researchers and practitioners to assess the performance of optimization methods in terms of convergence speed, accuracy, robustness, and ability to handle local minima or maxima.