To　improve　the　superheated　steam　temperature　(SST)　control　performance,　this　paper　considers　the　conflicting　objectives　in　SST　control,　multi-objective　optimization　(MOO)　algorithm　is　employed　in　this　paper.　Firstly,　the　inner-loop　PI　controller　is　optimized　by　considering　the　objectives　of　set-point　tracking　and　disturbance　rejection,　with　and　without　constraints　on　robustness　level.　It　is　found　that　robustness　constraint　is　essential　in　the　optimization.　Secondly,　the　regulation　performance　of　the　outer-loop　PI　controller　is　addressed　by　optimizing　the　disturbance　rejection　and　robustness　simultaneously.　The　parameter　are　determined　based　on　the　simulation　comparison　between　the　non　dominated　solutions.　The　simulation　results　demonstrate　a　promising　prospect　of　promoting　the　proposed　strategy　to　more　industrial　practices.　(C)　2017,　IFAC　(International　Federation　of　Automatic　Control)　Hosting　by　Elsevier　Ltd.　All　rights　reserved.