Abstract
Mixed-integer problems are those that involve both continuous and integer variables. The introduction of integer variables allows the modeling of complex decisions through graph theoretic representations denoted as superstructures (Floudas, 1995). This representation leads to the simultaneous determination of the optimal structure of a network and its optimum operating parameters. Thus MINLPs find applications in engineering design such as heat exchanger network synthesis, reactor-separator-recycle network synthesis or pump network synthesis (Floudas, 1995; Grossmann, 1996), in metabolic pathway engineering (Hatzimanikatis et al., 1996a,b; Dean and Dervakos, 1996), or in molecular design (Maranas, 1996; Churi and Achenie, 1996) .
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© 1999 Springer Science+Business Media Dordrecht
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Floudas, C.A. et al. (1999). Mixed-Integer Nonlinear Programming Problems (MINLPs). In: Handbook of Test Problems in Local and Global Optimization. Nonconvex Optimization and Its Applications, vol 33. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3040-1_12
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DOI: https://doi.org/10.1007/978-1-4757-3040-1_12
Publisher Name: Springer, Boston, MA
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