Trust region radius is a parameter in optimization algorithms that defines the neighborhood around the current iterate where the model is trusted to be an accurate representation of the objective function. Adjusting this radius balances exploration and exploitation, ensuring efficient convergence by adapting to the local landscape of the function being minimized or maximized.