This　paper　investigates　an　issue　for　optimizing　community　shuttle　network　linked　with　metro　stations.　Considering　a　set　of　trip　demands　originating　from　several　bus　stops　within　a　large　community　area,　a　mixed　integer　optimization　model　is　formulated　to　obtain　the　optimized　shuttle　route　network　and　the　frequency　of　each　route　simultaneously,　to　minimize　the　total　transit　system　cost,　including　user　and　supplier　costs.　To　solve　the　problem,　a　solution　framework　consisting　of　three　primary　components　is　proposed:　an　initial　route　network　scheme　is　developed　to　ensure　that　any　generated　network　is　feasible;　a　network　analysis　procedure　is　performed　that　assigns　the　demand　of　each　stop　to　a　set　of　paths　on　the　generated　network　according　to　a　certain　proportion;　a　heuristic　algorithm　is　proposed　to　optimize　the　service　frequency　of　each　route;　a　genetic　algorithm　consisting　of　a　set　of　specifically　designed　operators　is　proposed　to　guide　the　solution　population　evolving　process.　A　real-life　study　is　tested　successfully　using　the　proposed　solution　framework.　The　related　sensitivity　analysis　and　impacts　of　some　important　variables　on　the　solution　are　performed.