A penalty function is a crucial tool in optimization and statistical modeling that imposes a cost on complex models to prevent overfitting, effectively balancing model complexity and predictive accuracy. By adding a penalty term to the objective function, it encourages simpler models that generalize better to unseen data, often improving model interpretability and performance.