As　critical　lifeline　systems,　transportation　network　(TN)　and　electric　power　network　(EPN)　are　highly　susceptible　to　natural　hazards,　such　as　earthquakes　during　their　service　life.　At　the　same　time,　restoration　of　damaged　TN　and　EPN　is　essential　to　support　the　post-earthquake　reconstruction　and　emergency　rescue　in　affected　areas.　Restoration　strategies　were　traditionally　developed　for　TN　or　EPN　separately.　However,　neglecting　the　potential　interconnection　between　these　two　networks　in　the　recovery　phase　may　lead　to　detrimental　consequences,　as　in　real-world　scenarios,　the　obtained　strategy　may　be　less　efficient　or　even　unfeasible　given　that　recovery　of　one　system　is　usually　dependent　on　the　others　for　service　provision.　Accordingly,　this　paper　presents　a　resilience-based　framework　for　post-earthquake　restoration　of　interdependent　transportation-electric　power　networks.　In　this　framework,　restoration　independencies　and　functionality　dependencies　are　introduced　to　represent　the　interaction　between　TN　and　EPN.　Then,　a　bi-level　optimization　model　with　the　objective　of　maximizing　seismic　resilience　is　established　to　characterize　the　network　recovery　problem.　Furthermore,　a　solution　algorithm　that　incorporates　a　genetic　algorithm　and　a　chromosome　validity　test　operator　is　designed　to　obtain　the　near-optimal　solution.　Finally,　the　proposed　framework　is　illustrated　through　two　numerical　examples.