Due　to　its　synthetic　and　complex　characters,　such　as　multivariable,　strong　coupling,　nonlinearity,　the　shaft　furnace　Toasting　process　is　very　difficult　to　control　in　optimizing　mode.　To　deal　with　this　problem,　a　hybrid　intelligent　optimizing　setting　control　approach　is　developed.　The　set　points　in　control　loops　are　produced　by　the　methodology　of　case-based　reasoning　(CBR),　followed　by　real-time　appraisal　and　correction　for　the　purpose　of　the　optimizing　on　integrated　production　indices.　The　proposed　method　realized　the　optimizing　control　for　integrated　production　indices.　The　successful　application　on　shaft　furnaces　from　a　mineral　processing　plant　in　China　indicates　effectiveness　of　the　proposed　method.