As　key　components　of　the　transportation　infrastructure　system,　bridges　are　vulnerable　to　earthquake　hazards　during　their　service　life.　Restoration　of　damaged　bridges　is　of　great　importance　to　resume　the　operation　of　the　transportation　networks　in　support　of　post-earthquake　city　reconstruction　and　rescue.　This　paper　proposes　a　resilience-based　framework　to　identify　the　near-optimal　restoration　scheduling　of　bridge　networks　after　an　earthquake.　In　the　framework,　an　average　travel　time-based　metric　is　introduced　for　the　network　performance　analysis,　and　a　probabilistic　recovery　model　is　adopted　to　describe　the　restoration　characteristics　of　damaged　bridge.　Furthermore,　the　post-earthquake　restoration　scheduling　problem　is　formulated　as　a　mathematical　model　with　the　aim　of　maximizing　network　resilience,　for　which　a　modified　GA-based　optimization　methodology　is　developed　to　obtain　the　near-optimal　solution　to　this　problem.　Finally,　the　applicability　of　this　framework　in　the　scenario　of　bridge　network　recovery　is　demonstrated　through　two　numerical　examples.　The　results　show　that　the　proposed　framework　is　effective　in　guiding　the　network　restoration　scheduling　under　resources　and　functionality　constraints;　the　dynamic　changes　in　traffic　demand　after　an　earthquake　can　significantly　affect　the　optimal　restoration　sequence　of　damaged　bridges,　the　evolution　of　network　functionality　and　network　resilience.