A novel data-driven sampling strategy for optimizing industrial grinding operation under uncertainty using chance constrained programming
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DOI: 10.1016/j.powtec.2020.09.024
Abstract: Abstract Multi-objective optimization of an integrated grinding circuit considering various sources of uncertainties has been targeted in this work using Chance constrained programming (CCP). Success of CCP depends on accurate transcription of uncertain parameter space… read more here.
Keywords: novel data; using chance; constrained programming; chance constrained ... See more keywords