MINLP Solver Software
By Michael R. Bussieck, Stefan Vigerske. 2011
187 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Numerical Analysis
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Ruth Misener
- Christodoulos A. Floudas
- James R. Luedtke
- Pietro Belotti
- Sven Leyffer
- Jeff T. Linderoth
- Christian Kirches
- Berk Ustun
In Numerical Analysis
- Ruth Misener
- Christodoulos A. Floudas
- Pietro Belotti
- James R. Luedtke
- Sven Leyffer
- Jeff T. Linderoth
- Christian Kirches
- Berk Ustun
Citations in the corpus
- Learning Optimized Risk Scores (2016, background): “ solve RiskSlimMINLP in a way that is particularly inecient (e.g. by repeatedly estimating or evaluating the Hessian of the objective function) 1. There exist several o-the-shelf MINLP solvers (see Bussieck and Vigerske, 2010, for a list). We chose Knitro because it let us: (i) control / reduce data”
- GloMIQO: Global mixed-integer quadratic optimizer (2012, methodology): “Automatic reformulations, while common in MIP solver software, are relatively rare in MIQCQP solver software [36].”
- Mixed-integer nonlinear optimization*† (2013, background): “Recent surveys of Bussieck and Vigerske (2010) and D’Ambrosio and Lodi (2011) also provide an excellent description of available MINLP solvers.”
- ANTIGONE: Algorithms for coNTinuous / Integer Global Optimization of Nonlinear Equations (2014, methodology): “The C++ implementation of ANTIGONE belongs to the class of numerical optimization software addressing MINLP; refer to the review of Bussieck and Vigerske [27] for complete treatment.”