The　multi-objective　approach　and　departure　aircraft　sequencing　problem　with　both　interdependent　and　independent　runways　is　studied.　The　complex　dependence　between　runways　and　the　dynamic　separation　constraint　on　dependent　runways　are　considered.　Aiming　to　reduce　the　total　delay　cost　and　passenger　delay　time,　a　multi-objective　programming　model　under　the　complex　interdependence　relationship　of　runways　is　established.　By　using　three　examples　of　Jiangbei　Airport　in　Chongqing,　the　Pareto　optimal　solution　set　of　multi-objective　model　is　obtained　by　using　ε-constraint　method.　Compared　with　the　traditional　model　without　adding　the　two　constraints,　the　total　delay　cost　is　reduced　by　68.5%　to　80.3%　and　the　total　delay　time　of　passengers　is　reduced　by　68.8%　to　77.7%　when　the　complex　interdependence　relationship　is　taken　into　account.　When　additional　consideration　is　given　to　the　dynamic　minimum　time　interval　on　the　interdependent　runway,　the　total　delay　cost　is　reduced　by　20.4%　to　43.4%　and　the　total　passenger　delay　time　is　reduced　by　29.2%　to　42.5%.　©　2023　Nanjing　University　of　Aeronautics　an　Astronautics.　All　rights　reserved.