In　network　virtualization,　one　of　its　core　challenges　lies　in　how　to　map　the　virtual　networks　(VNs)　to　the　shared　substrate　network　(SN)　that　is　managed　by　an　infrastructure　provider,　termed　as　the　virtual　network　embedding　problem.　Prior　studies　on　this　problem　only　consider　one　objective,　e.g.,　maximizing　the　revenues　by　mapping　more　VNs　or　minimizing　the　energy　cost.　In　this　paper,　we　addressed　the　virtual　network　embedding　problem　with　these　two　objectives.　We　leverage　niche　particle　swarm　optimization　technique　to　design　a　meta-heuristic　algorithm　to　solve　this　problem.　Extensive　simulations　illustrate　that　the　efficiency　of　our　proposed　algorithm　is　better　than　the　state-of-the-art　algorithms　in　terms　of　both　revenue　and　energy　cost.