The Ripple Effect Scheduling (RES) algorithm prioritizes tasks based on their priority level, aiming to minimize disruptions to lower-priority tasks. It first sorts tasks by priority and calculates waiting and turnaround times. A "ripple effect" adjustment slightly reduces waiting time for lower-priority tasks when preceded by higher-priority tasks. This approach ensures high-priority tasks are handled efficiently while minimizing the impact on lower-priority ones.