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A new ant Colony Algorithm optimized approach for virtual machine placement called ACA-VMP was proposed. ACA-VMP is depended on Cloudsim project which is a popular tool for cloud data center simulation. The objectives of ACA-VMP are to reduce energy consumption, minimize the number of VM migrations, and maintain the desired QoS. ACA-VMP used a vector based resource utilization capturing technique and multi-dimensional resource demands was described. The global pheromone trail evaporation rule is applied towards the end of iteration after all ants complete their migration plans. The local pheromone trail update rule is also applied on a tuple when an ant traverses the tuple while making its migration plan.The experimental results and performance analysis show our strategy leads to a further improvement compared with the old optimized algorithm strategies. ACA-VMP is valuable for other cloud providers to build a low energy consumption cloud data center.