This　paper　investigates　a　mixed　optimal　scheduling　problem　of　an　electric　bus　fleet　and　charging　infrastructure　based　on　the　plug-in　charging　mode.　Partial　recharging　and　shifting　the　recharge　start　time　are　allowed　in　this　problem.　A　mixed-integer　optimization　model　is　formulated　to　minimize　the　total　cost　of　the　bus　system,　considering　the　constraints　of　vehicle　scheduling,　charging　event　time,　state　of　charge,　and　recharge　scheduling　in　this　process.　To　solve　this　problem,　a　solution　framework　consisting　of　two　primary　components　is　proposed.　The　first　component　is　a　recharge　scheduling　procedure　that　determines　the　start　time　and　duration　of　each　charging　event　as　well　as　the　minimum　number　of　chargers　used　simultaneously　for　a　given　set　of　vehicle　schedules.　The　second　component　is　a　genetic　algorithm　procedure　that　contains　customized　operators　to　guide　the　evolution　of　vehicle　schedules.　A　real-world　case　study　is　conducted　to　test　the　model　and　the　solution　framework,　and　the　impacts　of　important　variables　on　the　solution　are　determined.