Virtual Arc Consistency is a recent local consistency for processing cost function networks that exploits a simple but powerful connection between classical constraint networks and cost function networks. The algorithm enforcing virtual arc consistency iteratively solves a sequence of classical constraint networks. In this work, we show that dynamic arc consistency algorithms can be suitably injected in the virtual arc consistency iterative algorithm, providing noticeable speedups.