The　optimization　of　feeder　bus　in　terms　of　network　design　and　frequency　setting　is　an　important　topic　about　the　coordinated　development　of　rail　transit　and　ground　transit.　This　paper　analyzes　the　model　construction,　planning　methods,　and　model　algorithms　deficiencies　in　previous　studies.　The　study　develops　an　optimization　model　for　feeder　bus　operations　based　on　the　mixed　integer　nonlinear　programming,　and　the　model　is　solved　by　reconstructions.　Then,　the　model　and　algorithm　are　verified　through　case　analysis.　The　results　showed　that:　The　proposed　model　in　this　study　includes　a　multiple　to　multiple　(M　to　M)　constraint,　which　is　closer　to　the　real　transit　operation　conditions.　Compared　to　the　Depth-first　search　(DFS)　algorithm　using　the　same　topology　road　network,　the　proposed　model　reduces　the　calculation　complexity　and　is　feasible　and　effective　in　optimizing　the　feeder　bus　routes　and　departure　frequencies.　Copyright　©　2022　by　Science　Press.