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.
In: di Pillo G, Roma M (eds) Large-Scale Nonlinear Optimization, Springer, pp 35–59
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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.