Transfer　between　the　metro　(underground　railway　system)　and　buses　is　standard　in　many　cities,　and　the　simultaneous　arrival　of　these　two　modes　can　provide　passengers　with　a　smoother　transfer　experience.　However,　previous　synchronous　transfer　studies　rarely　consider　different　public　transport　modes　simultaneously.　This　paper　presents　an　optimization　model　that　maximizes　the　number　of　metro　and　bus　network　synchronizations　considering　the　connection　level.　An　improved　algorithm　that　combines　simulated　annealing　(SA)　and　artificial　bee　colony　(ABC)　is　proposed.　The　best　nectar　source　position　in　history　is　combined　with　the　SA　operation.　The　ABC　and　simulated　annealing　and　improved　artificial　bee　colony　(SA-IABC)　algorithms　are　used　to　solve　the　model　using　the　Nanmendou　metro　station　and　the　bus　stations　within　1.2　km　around　it　in　Fuzhou　City,　China.　The　results　show　that　ABC　and　improved　SA-IABC　algorithms　increase　the　synchronization　times　of　the　metro　and　bus　network　by　17%　and　24%　on　average,　respectively,　without　expanding　the　departure　frequency.