It　is　paramount　to　perform　timely　and　appropriate　maintenance　actions　on　networked　infrastructures,　such　as　power　transmission,　transportation,　telecommunications,　and　so　forth,　in　order　to　ensure　their　reliability　in　satisfying　the　prescribed　demand　required　by　the　economic　development　and　social　well-being　of　a　society.　For　this　purpose,　the　time　of　travelling　between　the　components　to　be　maintained　needs　to　be　considered,　as　the　components　of　a　real-world　infrastructure　are　usually　geographically　widely　distributed.　To　address　this　problem,　we　propose　a　holistic　bi-objective　optimization　approach　for　the　joint　optimization　of　maintenance　planning　and　workforce　routing　for　a　networked　infrastructure,　in　order　to　determine　a　practical　maintenance　plan　that　can　simultaneously　maximize　its　reliability　and　minimize　the　incurred　cost.　To　deal　with　the　complexity　of　the　proposed　problem,　we　develop　a　Two-level　Pareto　Simulated　Annealing　algorithm　to　approximate　the　Pareto-optimal　solutions　of　the　proposed　problem.　Finally,　two　numerical　examples　are　employed　to　illustrate　the　ability　of　the　proposed　approach　in　dealing　with　the　maintenance　optimization　problem　of　a　geographically　distributed　networked　infrastructure.