Algorithm initialization is the process of setting initial conditions or parameters before an algorithm begins execution, which can significantly impact its performance and outcomes. Proper initialization can help avoid issues like poor convergence, local minima, or inefficient computation, especially in complex algorithms like neural networks or optimization methods.