Once　a　critical　infrastructure　is　disrupted,　it　needs　to　be　restored　as　soon　as　possible　in　order　to　minimize　the　influence　of　the　disruptions　on　the　economic　development　and　social　well-being　of　a　society.　Components　of　critical　infrastructures　are　usually　geographically　distributed　and　the　time　required　to　travel　between　disrupted　components　cannot　be　ignored　when　making　restoration　plans.　As　a　result,　the　problem　of　optimally　routing　restoration　workforce　needs　to　be　taken　into　account　when　scheduling　the　tasks　of　restoring　disrupted　components.　To　deal　with　this　problem,　this　research　proposes　a　joint　optimization　approach　to　simultaneously　determine　the　time　of　restoring　each　disrupted　component,　the　assignment　of　restoration　tasks　to　the　available　teams　of　restoration　technicians,　and　the　routes　of　each　team.　To　deal　with　the　complexity　of　the　proposed　problem,　ant　colony　optimization　algorithm　is　employed　with　necessary　adaptations　to　solve　it.