Piecewise MILP under‐ and overestimators for global optimization of bilinear programs

By D. Wicaksono, Iftekhar A. Karimi. 2008

155 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/c5610e6c2909c5645b5b24ef5428a8128c637ecc

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

1. Ruth Misener
2. Christodoulos A. Floudas
3. Stephen P. Boyd
4. Jaehyun Park
5. Ignacio E. Grossmann

In Numerical Analysis

1. Ruth Misener
2. Christodoulos A. Floudas
3. Jaehyun Park
4. Stephen P. Boyd

Citations in the corpus

• GloMIQO: Global mixed-integer quadratic optimizer (2012, methodology): “…instantiations of MIQCQP in process networks optimization problems include: pooling problems [5,12,20,28,53,65–67, 79, 93, Given the applicability of MIQCQP to a wide array of interesting problem classes, we have developed GloMIQO as a numerical software tool addressing MIQCQP to ε -global…”
• Piecewise-Linear Approximations of Multidimensional Functions (2010, methodology): “Based on their success, Wicaksono and Karimi [ 27 ] and Gounaris et al. [28] thoroughly studied piecewise-linear relaxations of bilinear functions and suggested formulations that could improve the computational times of Meyer and Floudas [25] and Karuppiah and Grossmann [26].”