Program for stream Mixed-integer nonlinear optimization

FC-02: MINO 1 - Polynomial Optimization with binary variables
Stream: Mixed-integer nonlinear optimization
Room: Room 1.1
Chair(s): Luca Mencarelli

• Quadratization in the optimization of polynomials with binary variables
  Sourour Elloumi, Yves Crama, Amélie Lambert, Elisabeth Rodriguez-Heck
• Improved linear and SDP-based quadratic convex reformulations
  Mathieu Verchère, Sourour Elloumi
• Outer Approximation Algorithms for Binary Nonlinear Optimization Programming
  Luca Mencarelli

FD-02: MINO 2 - Mixed-integer nonlinear programming applications
Stream: Mixed-integer nonlinear optimization
Room: Room 1.1
Chair(s): Jan Rolfes

• A Gauss-Newton-based Decomposition Algorithm for Nonlinear Mixed-Integer Optimal Control Problems
  Clemens Zeile
• Simultaneous Design and Optimization of Complex Processes Constrained by Partial Differential Equations using Mixed Integer Formulations
  Hasan Sildir, Emrullah Erturk, Sahin Sarrafi
• Distributionally robust optimization with envelope and moment information
  Jan Rolfes

FE-05: MINO 3 - Mixed-integer nonlinear optimization
Stream: Mixed-integer nonlinear optimization
Room: Room 1.15
Chair(s): Jan Kronqvist

• Combining discrete and continuous information for multi-criteria optimization problems
  Katrin Teichert, Tobias Seidel
• Sequential penalty methods for mixed integer programs
  Marianna De Santis
• Semidefinite Programming Approach to Security Constrained Optimal Power Flow with FACTS Devices
  Bartosz Filipecki
• On the use of regularization, trust regions, and Hessian information in outer-approximation for convex MINLP
  Jan Kronqvist, David Bernal, Zedong Peng Peng, Ignacio Grossmann

SE-02: MINO 4 - Decomposition and MINLP for machine learning
Stream: Mixed-integer nonlinear optimization
Room: Room 1.1
Chair(s): Laura Palagi

• Maximum Margin Optimal Classification Trees
  Marta Monaci, Laura Palagi, Giorgio Grani
• On multivariate randomized classification trees
  Andrea Manno, Edoardo Amaldi, Antonio Consolo
• Randomized regression trees: a model variant and a decomposition training algorithm
  Antonio Consolo, Edoardo Amaldi, Andrea Manno