Introduces a decision-diagram graphical framework for global MINLP optimization via reformulation, convexification, cutting planes, and spatial branch-and-bound, demonstrated on previously inadmissible test instances from the MINLP Library.
Mathematical Pro- gramming 170:387–415, URL https://api.semanticscholar.org/CorpusID:13976684
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A graphical framework for global optimization of mixed-integer nonlinear programs
Introduces a decision-diagram graphical framework for global MINLP optimization via reformulation, convexification, cutting planes, and spatial branch-and-bound, demonstrated on previously inadmissible test instances from the MINLP Library.