Mixed-Integer Nonlinear Programming Problems (MINLPs)

  • Christodoulos A. Floudas
  • Pãnos M. Pardalos
  • Claire S. Adjiman
  • William R. Esposito
  • Zeynep H. Gümüş
  • Stephen T. Harding
  • John L. Klepeis
  • Clifford A. Meyer
  • Carl A. Schweiger
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 33)

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) .

Keywords

Heat Transfer Coefficient Heat Exchanger Test Problem Binary Variable Global Solution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • Christodoulos A. Floudas
    • 1
  • Pãnos M. Pardalos
    • 2
  • Claire S. Adjiman
    • 1
  • William R. Esposito
    • 1
  • Zeynep H. Gümüş
    • 1
  • Stephen T. Harding
    • 1
  • John L. Klepeis
    • 1
  • Clifford A. Meyer
    • 1
  • Carl A. Schweiger
    • 1
  1. 1.Department of Chemical EngineeringPrinceton UniversityPrincetonUSA
  2. 2.Department of Industrial and Systems EngineeringUniversity of FloridaUSA

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