Swarm intelligence algorithms have proven their importance and efficiency in solving complex optimization problems, especially the problem of optimal allocation of cloud manufacturing resources. Therefore, in this study, a hybrid algorithm consisting of the particle swarm (PSO) algorithm and the ant colony (ACO) algorithm was proposed to reach the optimal allocation of cloud manufacturing (CMfg) resources for the electrical distribution transformer product. The objective function here is four-dimensional, that is, the optimal allocation of resources is aimed at reducing the time, cost, risk, and quality of the service provided. The results obtained showed the effectiveness and efficiency of allocation of cloud manufacturing (CMfg) resources using the hybrid algorithm (AC-PSO).