Distributed　energy-efficient　hybrid　flow　shop　scheduling　problem　(DEHFSP)　with　batch　processing　machines　(BPMs)　is　rarely　considered,　let　alone　DEHFSP　with　BPMs　and　uncertainty.　In　this　study,　a　fuzzy　DEHFSP　with　BPMs　at　a　middle　stage　and　no　precedence　between　some　stages　is　presented,　and　a　dynamic　artificial　bee　colony　(DABC)　is　proposed　to　simultaneously　optimize　the　total　agreement　index,　fuzzy　makespan,　and　fuzzy　total　energy　consumption.　To　produce　high　quality　solutions,　Metropolis　criterion　is　used,　dynamic　employed　bee　phase　based　on　neighborhood　structure　dynamic　selection　is　implemented,　and　group-based　onlooker　bee　phase　with　bidirectional　communication　is　given.　Migration　operator　is　also　adopted　to　replace　scout　bee　phase.　Extensive　experiments　are　conducted,　and　the　optimal　combination　of　key　parameters　for　DABC　is　decided　by　the　Taguchi　method.　Comparative　results　and　statistical　analysis　show　that　new　strategies　of　DABC　are　effective,　and　DABC　is　highly　competitive　in　solving　the　considered　fuzzy　DEHFSP.