NLP Reformulation of MINLP under Nonlinear Network Dynamics
Operative planning in large networks with nonlinear fluid dynamics
leads to large-scale MINLP that are to date intractable
by mixed-integer programming techniques.
The reformulation of binary decisions by
complementarity constraints (MPCC), equilibrium constraints (MPEC),
or even ``simple'' nonlinear constraints (NLP) has recently
gained interest in the (continuous) optimization community.
The lecture reports on successful and unsuccessful
NLP reformulation techniques for minimum-cost operation of
gas and water supply networks under reliable demand forecasts.
Chemnitz Workshop
Last modified: Mon Sep 20 16:20:00 CEST 2004