This toolbox is part of the optimization visualizing series that I developed during the optimization class at Georgia Tech. More details about these toolboxes and packages is presented in this blog ...

Evolutionary algorithms are modified in various ways to solve constrained optimization problems. Of them, the use of a bi-objective evolutionary algorithm in which the minimization of the constraint ...

This letter considers the problem of regulating a dynamical system to equilibria that are defined as solutions of an input- and state-constrained optimization problem. To solve this regulation task, ...

As the resulting optimization problem is a nonconvex quadratically constrained quadratic program, we devise a branch-and-bound method by exploiting the special structure of the formulation. The ...

M.Sc. Kari Rantanen succesfully defended his doctoral dissertation Optimization Algorithms for Learning Graphical Model Structures on December 8, 2021. The thesis work was conducted in the Constraint ...