This　paper　investigates　an　optimization　problem　regarding　feeder　bus　network　design　for　metro　stations,　based　on　the　wide　use　of　battery-powered　electric　buses.　To　characterize　the　problem,　a　mixed　integer　programming　model　is　formulated　with　the　objective　of　minimizing　the　total　cost　of　the　electric　feeder　bus　system,　including　the　user　and　operator　investment　costs.　The　model　considers　the　constraints　of　route　length,　bus　stop　coverage,　vehicle　capacity,　and　depot　size.　The　solution　incorporates　a　multiserver　queuing　submodel　with　limited　system　capacity　to　explore　the　relationship　among　the　bus　headway,　the　fleet　size,　and　the　number　of　depot-located　chargers.　Then　a　cost-optimized　planning　methodology　is　developed　to　solve　these　three　variables　for　a　given　network.　To　solve　the　network　optimization　problem,　a　genetic　algorithm　that　includes　customized　operators　is　developed　to　guide　the　solution　evolution　process.　Synthetic　case　studies　are　conducted　to　test　the　model　and　the　algorithm,　and　a　sensitivity　analysis　on　the　important　input　parameters　follows.