Mixed-integer nonlinear programming

2012
In this chapter we compare continuous nonlinear optimization with mixed integer optimization of water supply networks by means of a meso scaled network instance. We introduce a heuristic approach, which handles discrete decisions arising in water supply network optimization through penalization using nonlinear programming.
Kolb, Oliver +3 more
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Heuristics for convex mixed integer nonlinear programs

Computational Optimization and Applications, 2010
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Bonami, Pierre, Gonçalves, João P. M.
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Mixed-integer nonlinear programming with binary variables

2022
Operational problems involving discrete structures naturally arise in a vast number of applications which provide the impetus for the development of mixed-integer programming (MIP). In this dissertation, we are mainly concerned with the theory of mixed-integer nonlinear programming (MINLP) with indicator variables as well as their applications in other
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Mixed-Integer Nonlinear Programming Problems (MINLPs)

1999
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 ...
Christodoulos A. Floudas +8 more
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mixed integer programming
mixed integer nonlinear programming
optimization

mixed-integer programming
mixed-integer linear programming
nonlinear programming

branch-and-bound
minlp
convex optimization