Meta-heuristic algorithms are employed in a multitude of disciplines due to their extensive adaptability, with numerous meta-heuristic algorithms having emerged in recent years. The Rafflesia Optimization Algorithm (ROA) draws inspiration from the process of Rafflesia flowers, from flowering to the production of seeds. It offers the advantages of high adaptability, high robustness, and rapid convergence. In this paper, the ROA algorithm is applied to the task scheduling problem in a cloud computing environment and compared with other classical and newly proposed algorithms. The experimental results indicate that the ROA demonstrates superior performance.