Cloud computing environment provides several on-demand services and resource sharing for clients. Business processes are\nmanaged using the workflow technology over the cloud, which represents one of the challenges in using the resources in an efficient\nmanner due to the dependencies between the tasks. In this paper, a Hybrid GA-PSO algorithm is proposed to allocate tasks to\nthe resources efficiently. The Hybrid GA-PSO algorithm aims to reduce the makespan and the cost and balance the load of the\ndependent tasks over the heterogonous resources in cloud computing environments. The experiment results show that the GAPSO\nalgorithm decreases the total execution time of the workflow tasks, in comparison with GA, PSO, HSGA,WSGA, andMTCT\nalgorithms. Furthermore, it reduces the execution cost. In addition, it improves the load balancing of the workflow application over\nthe available resources. Finally, the obtained results also proved that the proposed algorithm converges to optimal solutions faster\nand with higher quality compared to other algorithms
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