In　this　paper,　a　novel　optimal　control　scheme　for　ground-granulated　blast-furnace　slag　(GGBS)　production　process　is　proposed　by　using　the　iterative　adaptive　dynamic　programming　(ADP)　method　and　dynamic　optimization　of　desired　values.　To　handle　the　characteristic　of　changing　operation　modes　and　to　obtain　a　practical　optimal　control　result,　this　paper　formulates　the　GGBS　optimal　control　problem　based　on　an　intensive　study　of　the　production　technique,　and　constructs　the　optimal　control　scheme　based　on　the　repetitive　optimization　strategy　-　＂target　optimization＇＇　and　＂process　optimization＇＇.　To　obtain　the　optimal　targets　matching　with　changing　operation　modes,　SVM　modeling　and　multi-objective　optimization　method　are　utilized　to　solve　the　multi-objective　optimization　problem.　In　order　to　minimize　the　performance　index　function　further　and　faster,　iterative　tuning　technology　is　adopted　to　design　the　ADP　based　optimal　control　method.　Finally,　simulation　is　conducted　to　verify　the　effectiveness　of　the　proposed　approach.