Random Start refers to the initialization process in algorithms, particularly in optimization and machine learning, where the starting point is chosen randomly to avoid local minima and enhance solution robustness. This approach is crucial in stochastic processes and iterative algorithms to ensure diverse exploration of the solution space, leading to potentially better outcomes.