To　meet　effluent　quality　(EQ)　standard　and　reduce　energy　consumption　(EC)　of　wastewater　treatment　process　(WWTP),　a　multi-objective　optimal　control　method　was　developed　based　on　multi-objective　particle　swarm　optimization　(MOPSO).　First,　EC　and　EQ　models　from　adaptive　regressive　kernel　functions　were　established　by　analysis　of　operation　data.　Then,　MOPSO　was　designed　to　optimize　EC　and　EQ　models　and　to　reach　optimal　set-points　of　dissolved　oxygen　(SO)　and　nitrate　(SNO)　simultaneously.　Finally,　PID　controller　was　used　to　trace　the　optimal　set-points　of　SO　and　SNO　so　as　to　achieve　multi-objective　optimal　control　of　WWTP.　The　experimental　results　from　Benchmark　Simulation　Model　1　(BSM1)　for　wastewater　treatment　demonstrated　that　the　proposed　multi-objective　optimal　control　method　could　assuredly　meet　effluent　quality　standard　as　well　as　effectively　reduce　energy　consumption.　©　All　Right　Reserved.